{"id":20490340,"url":"https://github.com/robertvazan/fingerprint-datasets","last_synced_at":"2026-03-06T09:31:47.483Z","repository":{"id":41331456,"uuid":"509116394","full_name":"robertvazan/fingerprint-datasets","owner":"robertvazan","description":"Curated collection of human fingerprint datasets suitable for research and evaluation of fingerprint recognition algorithms.","archived":false,"fork":false,"pushed_at":"2025-06-29T14:52:07.000Z","size":19,"stargazers_count":123,"open_issues_count":0,"forks_count":24,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-06-29T15:36:11.832Z","etag":null,"topics":["biometrics","fingerprint","fingerprint-recognition","sourceafis"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"cc0-1.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/robertvazan.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2022-06-30T14:36:02.000Z","updated_at":"2025-06-29T14:52:11.000Z","dependencies_parsed_at":"2025-01-16T05:35:37.153Z","dependency_job_id":null,"html_url":"https://github.com/robertvazan/fingerprint-datasets","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/robertvazan/fingerprint-datasets","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/robertvazan%2Ffingerprint-datasets","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/robertvazan%2Ffingerprint-datasets/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/robertvazan%2Ffingerprint-datasets/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/robertvazan%2Ffingerprint-datasets/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/robertvazan","download_url":"https://codeload.github.com/robertvazan/fingerprint-datasets/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/robertvazan%2Ffingerprint-datasets/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":30168977,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-03-06T07:56:45.623Z","status":"ssl_error","status_checked_at":"2026-03-06T07:55:55.621Z","response_time":250,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["biometrics","fingerprint","fingerprint-recognition","sourceafis"],"created_at":"2024-11-15T17:16:42.719Z","updated_at":"2026-03-06T09:31:47.429Z","avatar_url":"https://github.com/robertvazan.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Fingerprint dataset collection\n\nCurated collection of human fingerprint datasets suitable for research and evaluation of fingerprint recognition algorithms.\n\n- [Dataset classification](#dataset-classification)\n- [Public rectangular datasets](#public-rectangular-datasets)\n    - [FVC2000 DB1 B](#fvc2000-db1-b)\n    - [FVC2000 DB2 B](#fvc2000-db2-b)\n    - [FVC2000 DB3 B](#fvc2000-db3-b)\n    - [FVC2000 DB4 B](#fvc2000-db4-b)\n    - [FVC2002 DB1 B](#fvc2002-db1-b)\n    - [FVC2002 DB2 B](#fvc2002-db2-b)\n    - [FVC2002 DB3 B](#fvc2002-db3-b)\n    - [FVC2002 DB4 B](#fvc2002-db4-b)\n    - [FVC2004 DB1 B](#fvc2004-db1-b)\n    - [FVC2004 DB2 B](#fvc2004-db2-b)\n    - [FVC2004 DB3 B](#fvc2004-db3-b)\n    - [FVC2004 DB4 B](#fvc2004-db4-b)\n    - [Neurotechnology CrossMatch](#neurotechnology-crossmatch)\n    - [Neurotechnology UareU](#neurotechnology-uareu)\n    - [FVS dataset](#fvs-dataset)\n    - [Tsinghua Palmprint Database](#tsinghua-palmprint-database)\n    - [COEP Palm Print Database](#coep-palm-print-database)\n    - [Birjand University Mobile Palmprint Database](#birjand-university-mobile-palmprint-database)\n- [Licensed rectangular datasets](#licensed-rectangular-datasets)\n    - [CASIA-FingerprintV5](#casia-fingerprintv5)\n    - [NIST Special Database 302](#nist-special-database-302)\n    - [NIST Special Database 301 A](#nist-special-database-301-a)\n    - [FVC2006 DB1](#fvc2006-db1)\n    - [FVC2006 DB2](#fvc2006-db2)\n    - [FVC2006 DB3](#fvc2006-db3)\n    - [FVC2006 DB4](#fvc2006-db4)\n    - [CASIA-PalmprintV1](#casia-palmprintv1)\n    - [CASIA-MS-PalmprintV1](#casia-ms-palmprintv1)\n    - [FVC2000 DB1 A](#fvc2000-db1-a)\n    - [FVC2000 DB2 A](#fvc2000-db2-a)\n    - [FVC2000 DB3 A](#fvc2000-db3-a)\n    - [FVC2000 DB4 A](#fvc2000-db4-a)\n    - [FVC2002 DB1 A](#fvc2002-db1-a)\n    - [FVC2002 DB2 A](#fvc2002-db2-a)\n    - [FVC2002 DB3 A](#fvc2002-db3-a)\n    - [FVC2002 DB4 A](#fvc2002-db4-a)\n    - [FVC2004 DB1 A](#fvc2004-db1-a)\n    - [FVC2004 DB2 A](#fvc2004-db2-a)\n    - [FVC2004 DB3 A](#fvc2004-db3-a)\n    - [FVC2004 DB4 A](#fvc2004-db4-a)\n- [Public pairsets](#public-pairsets)\n    - [MINEX validation dataset](#minex-validation-dataset)\n- [Licensed pairsets](#licensed-pairsets)\n    - [NIST Special Database 300](#nist-special-database-300)\n- [Licensed latent datasets](#licensed-latent-datasets)\n    - [NIST Special Database 302 E](#nist-special-database-302-e)\n    - [NIST Special Database 301 B](#nist-special-database-301-b)\n- [Public unpaired datasets](#public-unpaired-datasets)\n    - [SOCOFing](#socofing)\n- [Secret datasets](#secret-datasets)\n- [Generators](#generators)\n- [Other lists](#other-lists)\n\n## Dataset classification\n\nBy access:\n\n- public - Available for download by anyone without any explicit restrictions on use or redistribution. Where implicit copyright applies, publisher appears to be uninterested in enforcing it.\n- licensed - Available only after accepting license that contains confidentiality terms. This includes all datasets that cost money. License may include other restrictions in addition to confidentiality.\n- secret - Secret dataset itself cannot be obtained, but algorithms can be submitted for evaluation on the dataset. All competition datasets are secret to prevent cheating.\n\nBy impression count:\n\n- rectangular dataset - There are more than two impressions per finger. Rectangular datasets have certain advantages in research due to the large number of matching pairs.\n- pairset - There are two impressions per finger. All natural datasets and thus all large datasets are pairsets.\n- latent dataset - Latent datasets contain latent fingerprints taken from objects. They typically do not identify finger, only subject. They are usually intended to be matched against plain/rolled fingerprints from another dataset.\n- unpaired - Unpaired datasets contain only one impression of every finger. They have somewhat limited applications.\n\n## Public rectangular datasets\n\n### FVC2000 DB1 B\n\nSmall sample of FVC2000 DB1, one of the four datasets used in [FVC2000](http://bias.csr.unibo.it/fvc2000/default.asp) competition.\n\n- Size: 10 fingers x 8 impressions\n- Impression type: plain\n- Format: TIFF, 500dpi, 300x300px\n- License: unspecified, free download\n- Download: [download page](http://bias.csr.unibo.it/fvc2000/download.asp), [direct download](http://bias.csr.unibo.it/fvc2000/Downloads/DB1_B.zip)\n- Documentation: [FVC2000 datasets](http://bias.csr.unibo.it/fvc2000/databases.asp)\n- Population: white students\n- Enrollment: unmoderated\n- Sensor: optical, 500dpi, Secure Desktop Scanner by KeyTronic\n\n### FVC2000 DB2 B\n\nSmall sample of FVC2000 DB2, one of the four datasets used in [FVC2000](http://bias.csr.unibo.it/fvc2000/default.asp) competition.\n\n- Size: 10 fingers x 8 impressions\n- Impression type: plain\n- Format: TIFF, 500dpi, 256x364px\n- License: unspecified, free download\n- Download: [download page](http://bias.csr.unibo.it/fvc2000/download.asp), [direct download](http://bias.csr.unibo.it/fvc2000/Downloads/DB2_B.zip)\n- Documentation: [FVC2000 datasets](http://bias.csr.unibo.it/fvc2000/databases.asp)\n- Population: white students\n- Enrollment: unmoderated\n- Sensor: capacitive, 500dpi, TouchChip by ST Microelectronics\n\n### FVC2000 DB3 B\n\nSmall sample of FVC2000 DB3, one of the four datasets used in [FVC2000](http://bias.csr.unibo.it/fvc2000/default.asp) competition.\n\n- Size: 10 fingers x 8 impressions\n- Impression type: plain\n- Format: TIFF, 500dpi, 448x478px\n- License: unspecified, free download\n- Download: [download page](http://bias.csr.unibo.it/fvc2000/download.asp), [direct download](http://bias.csr.unibo.it/fvc2000/Downloads/DB3_B.zip)\n- Documentation: [FVC2000 datasets](http://bias.csr.unibo.it/fvc2000/databases.asp)\n- Population: white, 5-73 years\n- Enrollment: partial QA\n- Sensor: optical, 500dpi, DF-90 by Identicator Technology\n\n### FVC2000 DB4 B\n\nSmall sample of FVC2000 DB4, one of the four datasets used in [FVC2000](http://bias.csr.unibo.it/fvc2000/default.asp) competition. This dataset is synthetic.\n\n- Size: 10 fingers x 8 impressions\n- Impression type: synthetic plain\n- Format: TIFF, 500dpi, 240x320px\n- License: unspecified, free download\n- Download: [download page](http://bias.csr.unibo.it/fvc2000/download.asp), [direct download](http://bias.csr.unibo.it/fvc2000/Downloads/DB4_B.zip)\n- Documentation: [FVC2000 datasets](http://bias.csr.unibo.it/fvc2000/databases.asp)\n- Generator: unknown\n\n### FVC2002 DB1 B\n\nSmall sample of FVC2002 DB1, one of the four datasets used in [FVC2002](http://bias.csr.unibo.it/fvc2002/) competition.\n\n- Size: 10 fingers x 8 impressions\n- Impression type: plain\n- Format: TIFF, 500dpi, 388x374px\n- License: unspecified, free download\n- Download: [download page](http://bias.csr.unibo.it/fvc2002/download.asp), [direct download](http://bias.csr.unibo.it/fvc2002/Downloads/DB1_B.zip)\n- Documentation: [FVC2002 datasets](http://bias.csr.unibo.it/fvc2002/databases.asp)\n- Population: white students\n- Enrollment: artificial difficulty\n- Sensor: optical, 500dpi, TouchView II by Identix\n\n### FVC2002 DB2 B\n\nSmall sample of FVC2002 DB2, one of the four datasets used in [FVC2002](http://bias.csr.unibo.it/fvc2002/) competition.\n\n- Size: 10 fingers x 8 impressions\n- Impression type: plain\n- Format: TIFF, 569dpi, 296x560px\n- License: unspecified, free download\n- Download: [download page](http://bias.csr.unibo.it/fvc2002/download.asp), [direct download](http://bias.csr.unibo.it/fvc2002/Downloads/DB2_B.zip)\n- Documentation: [FVC2002 datasets](http://bias.csr.unibo.it/fvc2002/databases.asp)\n- Population: white students\n- Enrollment: artificial difficulty\n- Sensor: optical, 569dpi, FX2000 by Biometrika\n\n### FVC2002 DB3 B\n\nSmall sample of FVC2002 DB3, one of the four datasets used in [FVC2002](http://bias.csr.unibo.it/fvc2002/) competition.\n\n- Size: 10 fingers x 8 impressions\n- Impression type: plain\n- Format: TIFF, 500dpi, 300x300px\n- License: unspecified, free download\n- Download: [download page](http://bias.csr.unibo.it/fvc2002/download.asp), [direct download](http://bias.csr.unibo.it/fvc2002/Downloads/DB3_B.zip)\n- Documentation: [FVC2002 datasets](http://bias.csr.unibo.it/fvc2002/databases.asp)\n- Population: white students\n- Enrollment: artificial difficulty\n- Sensor: capacitive, 500dpi, 100 SC by Precise Biometrics\n\n### FVC2002 DB4 B\n\nSmall sample of FVC2002 DB4, one of the four datasets used in [FVC2002](http://bias.csr.unibo.it/fvc2002/) competition. This dataset is synthetic.\n\n- Size: 10 fingers x 8 impressions\n- Impression type: synthetic plain\n- Format: TIFF, 500dpi, 288x384px\n- License: unspecified, free download\n- Download: [download page](http://bias.csr.unibo.it/fvc2002/download.asp), [direct download](http://bias.csr.unibo.it/fvc2002/Downloads/DB4_B.zip)\n- Documentation: [FVC2002 datasets](http://bias.csr.unibo.it/fvc2002/databases.asp)\n- Generator: [SFinGe](http://biolab.csr.unibo.it/research.asp?organize=Activities\u0026select=\u0026selObj=12\u0026pathSubj=111%7C%7C12\u0026) v2.51\n\n### FVC2004 DB1 B\n\nSmall sample of FVC2004 DB1, one of the four datasets used in [FVC2004](http://bias.csr.unibo.it/fvc2004/) competition.\n\n- Size: 10 fingers x 8 impressions\n- Impression type: plain\n- Format: TIFF, 500dpi, 640x480px\n- License: unspecified, free download\n- Download: [download page](http://bias.csr.unibo.it/fvc2004/download.asp), [direct download](http://bias.csr.unibo.it/fvc2004/Downloads/DB1_B.zip)\n- Documentation: [FVC2004 datasets](http://bias.csr.unibo.it/fvc2004/databases.asp)\n- Population: white students\n- Enrollment: artificial difficulty\n- Sensor: optical, 500dpi, V300 by CrossMatch\n\n### FVC2004 DB2 B\n\nSmall sample of FVC2004 DB2, one of the four datasets used in [FVC2004](http://bias.csr.unibo.it/fvc2004/) competition.\n\n- Size: 10 fingers x 8 impressions\n- Impression type: plain\n- Format: TIFF, 512dpi, 328x364px\n- License: unspecified, free download\n- Download: [download page](http://bias.csr.unibo.it/fvc2004/download.asp), [direct download](http://bias.csr.unibo.it/fvc2004/Downloads/DB2_B.zip)\n- Documentation: [FVC2004 datasets](http://bias.csr.unibo.it/fvc2004/databases.asp)\n- Population: white students\n- Enrollment: artificial difficulty\n- Sensor: optical, 512dpi, U.are.U 4000 by Digital Persona\n\n### FVC2004 DB3 B\n\nSmall sample of FVC2004 DB3, one of the four datasets used in [FVC2004](http://bias.csr.unibo.it/fvc2004/) competition.\n\n- Size: 10 fingers x 8 impressions\n- Impression type: plain\n- Format: TIFF, 512dpi, 300x480px\n- License: unspecified, free download\n- Download: [download page](http://bias.csr.unibo.it/fvc2004/download.asp), [direct download](http://bias.csr.unibo.it/fvc2004/Downloads/DB3_B.zip)\n- Documentation: [FVC2004 datasets](http://bias.csr.unibo.it/fvc2004/databases.asp)\n- Population: white students\n- Enrollment: artificial difficulty\n- Sensor: thermal sweep, 512dpi, FingerChip FCD4B14CB by Atmel\n\n### FVC2004 DB4 B\n\nSmall sample of FVC2004 DB4, one of the four datasets used in [FVC2004](http://bias.csr.unibo.it/fvc2004/) competition. This dataset is synthetic.\n\n- Size: 10 fingers x 8 impressions\n- Impression type: synthetic plain\n- Format: TIFF, 500dpi, 288x384px\n- License: unspecified, free download\n- Download: [download page](http://bias.csr.unibo.it/fvc2004/download.asp), [direct download](http://bias.csr.unibo.it/fvc2004/Downloads/DB4_B.zip)\n- Documentation: [FVC2004 datasets](http://bias.csr.unibo.it/fvc2004/databases.asp)\n- Generator: [SFinGe](http://biolab.csr.unibo.it/research.asp?organize=Activities\u0026select=\u0026selObj=12\u0026pathSubj=111%7C%7C12\u0026) v3.0\n\n### Neurotechnology CrossMatch\n\nOne of two sample datasets distributed by Neurotechnology.\n\n- Size: 51 fingers x 8 impressions\n- Impression type: plain\n- Format: TIFF, 500dpi, 504x480px\n- License: unspecified, free download\n- Download: [download page](https://www.neurotechnology.com/download.html#databases), [direct download](https://www.neurotechnology.com/download/CrossMatch_Sample_DB.zip)\n- Sensor: optical, 500dpi, Verifier 300 by Cross Match Technologies\n\n### Neurotechnology UareU\n\nOne of two sample datasets distributed by Neurotechnology.\n\n- Size: 65 fingers x 8 impressions\n- Impression type: plain\n- Format: TIFF, 512dpi, 326x357px\n- License: unspecified, free download\n- Download: [download page](https://www.neurotechnology.com/download.html#databases), [direct download](https://www.neurotechnology.com/download/UareU_sample_DB.zip)\n- Sensor: optical, 512dpi, U.are.U 4000 by DigitalPersona\n\n### FVS dataset\n\nSmall rectangular dataset shared by Shivang Patel as part of his [Fingerprint Verification System](http://fvs.sourceforge.net/about.html) project.\n\n- Size: 21 fingers x 8 impressions\n- Impression type: plain\n- Format: BMP, 256x256px, unknown DPI\n- License: unspecified, free download\n- Download: [download page](http://fvs.sourceforge.net/download.html), [direct download](http://fvs.sourceforge.net/fingerprint_bitmaps.zip)\n\n### Tsinghua Palmprint Database\n\nTsinghua Palmprint Database (THUPALMLAB) contains palm prints without fingers.\n\n- Size: 80 subjects x 2 palms x 8 impressions\n- Impression type: palm\n- Format: BMP, 500dpi, 2040x2040px\n- License: for noncommercial research\n- Download: [download page](http://ivg.au.tsinghua.edu.cn/dataset/THUPALMLAB.php), [direct download](http://ivg.au.tsinghua.edu.cn/dataset/samples_THUPALMLAB/THUPALMLAB.rar)\n- Documentation: [paper](http://ivg.au.tsinghua.edu.cn/dataset/samples_THUPALMLAB/Robust%20and%20efficient%20ridge-based%20palmprint%20matching.pdf)\n- Sensor: Hisign\n\n### COEP Palm Print Database\n\nContactless right hand photos. Friction ridges are rarely visible.\n\n- Size: 168 subjects x 1 hand x 8 impressions\n- Impression type: contactless right hand, usually without friction ridges\n- Format: color JPEG, 1600x1200px, narrow DPI range\n- License: [free download](https://www.coep.org.in/resources/coeppalmprintdatabase)\n- Download: [download page](https://www.coep.org.in/resources/coeppalmprintdatabase), [direct download](http://www.coep.org.in/page_assets/250/database.zip)\n- Documentation: [homepage](https://www.coep.org.in/resources/coeppalmprintdatabase)\n- Population: citizens of India\n- Enrollment: pegs fix hand position\n- Sensor: digital camera\n\n### Birjand University Mobile Palmprint Database\n\nContactless hand and palm photos from University of Birjand. Friction ridges are rarely visible.\n\n- Size: 41 subjects x 2 hands x 20 impressions\n- Impression type: contactless hand and palm, usually without friction ridges\n- Format: color JPEG, up to 2448x3264px, narrow DPI range\n- License: unknown\n- Download: [Kaggle](https://www.kaggle.com/datasets/mahdieizadpanah/birjand-university-mobile-palmprint-databasebmpd)\n- Documentation: [Kaggle page](https://www.kaggle.com/datasets/mahdieizadpanah/birjand-university-mobile-palmprint-databasebmpd)\n- Population: Iranian women\n- Enrollment: encoraged variation\n- Sensor: digital camera\n\n## Licensed rectangular datasets\n\n### CASIA-FingerprintV5\n\nLarge dataset collected by Chinese Academy of Sciences.\n\n- Size: 500 subjects x 8 fingers x 5 impressions\n- Impression type: plain\n- Format: BMP, 512dpi, 328x356px\n- License: bundled in [dataset description](http://www.idealtest.org/dbDetailForUser.do?id=7#/datasetDetail/7), prohibits publishing and redistribution\n- Download: [download page](http://www.idealtest.org/dbDetailForUser.do?id=7#/datasetDetail/7) (requires signup)\n- Documentation: [attached on download page](http://www.idealtest.org/dbDetailForUser.do?id=7#/datasetDetail/7)\n- Population: Chinese graduate students, workers, waiters, ...\n- Enrollment: artificial difficulty\n- Sensor: \"URU4000\" (probably U.are.U 4000 by Digital Persona, optical, 512dpi)\n\n### NIST Special Database 302\n\nLive fingerprint dataset collected by NIST using a wide variety of sensors. It also includes latent fingerprints that have [their own entry](#nist-special-database-302-e) in this list.\n\n- Size: 200 subjects x 10 fingers x 12-18 impressions\n- Impression type: plain, rolled, 4-finger, 2-thumb, palm\n- Format: PNG, 500-1000dpi\n- License: [simple confidentiality rules](https://nigos.nist.gov/datasets/sd302/request)\n- Download: via [request page](https://nigos.nist.gov/datasets/sd302/request)\n- Documentation: [overview page](https://www.nist.gov/itl/iad/image-group/nist-special-database-302), [user guide](https://nvlpubs.nist.gov/nistpubs/TechnicalNotes/NIST.TN.2007.pdf)\n- Population: volunteers from US\n- Enrollment: moderated\n- Sensor: 15 sensor types (7 optical, 3 solid-state, 5 touch-free)\n\n### NIST Special Database 301 A\n\nLive fingerprint dataset collected by NIST using a wide variety of sensors.\n\n- Size: 51 subjects x 10 fingers x 14-15 impressions\n- Impression type: plain, rolled, 4-finger, 2-thumb, palm\n- Format: PNG, 500-1000dpi\n- License: [simple confidentiality rules](https://nigos.nist.gov/datasets/sd301/request)\n- Download: via [request page](https://nigos.nist.gov/datasets/sd301/request)\n- Documentation: [overview page](https://www.nist.gov/itl/iad/image-group/nist-special-database-301), [user guide](https://nvlpubs.nist.gov/nistpubs/TechnicalNotes/NIST.TN.2002.pdf)\n- Population: volunteers from US\n- Enrollment: moderated\n- Sensor: 10 sensor types (5 optical, 2 solid-state, 3 touch-free)\n\n### FVC2006 DB1\n\nOne of the four datasets used in [FVC2006](http://bias.csr.unibo.it/fvc2006/default.asp) competition. It is split into A (140 fingers) and B (10 fingers) subsets.\n\n- Size: 150 fingers x 12 impressions\n- Impression type: plain\n- Format: BMP, 250dpi, 96x96px\n- License: signed 2-year [license agreement](http://atvs.ii.uam.es/atvs/licenses/FVC2006_License.pdf)\n- Download: see [instructions](http://atvs.ii.uam.es/atvs/fvc2006.html)\n- Documentation: [FVC2006 datasets](http://bias.csr.unibo.it/fvc2006/databases.asp)\n- Population: white volunteers\n- Enrollment: unmoderated\n- Sensor: electric field sensor, 250dpi\n\n### FVC2006 DB2\n\nOne of the four datasets used in [FVC2006](http://bias.csr.unibo.it/fvc2006/default.asp) competition. It is split into A (140 fingers) and B (10 fingers) subsets.\n\n- Size: 150 fingers x 12 impressions\n- Impression type: plain\n- Format: BMP, 569dpi, 400x560px\n- License: signed 2-year [license agreement](http://atvs.ii.uam.es/atvs/licenses/FVC2006_License.pdf)\n- Download: see [instructions](http://atvs.ii.uam.es/atvs/fvc2006.html)\n- Documentation: [FVC2006 datasets](http://bias.csr.unibo.it/fvc2006/databases.asp)\n- Population: white volunteers\n- Enrollment: unmoderated\n- Sensor: electric field sensor, 250dpi\n\n### FVC2006 DB3\n\nOne of the four datasets used in [FVC2006](http://bias.csr.unibo.it/fvc2006/default.asp) competition. It is split into A (140 fingers) and B (10 fingers) subsets.\n\n- Size: 150 fingers x 12 impressions\n- Impression type: sweep\n- Format: BMP, 500dpi, 400x500px\n- License: signed 2-year [license agreement](http://atvs.ii.uam.es/atvs/licenses/FVC2006_License.pdf)\n- Download: see [instructions](http://atvs.ii.uam.es/atvs/fvc2006.html)\n- Documentation: [FVC2006 datasets](http://bias.csr.unibo.it/fvc2006/databases.asp)\n- Population: white volunteers\n- Enrollment: unmoderated\n- Sensor: electric field sensor, 250dpi\n\n### FVC2006 DB4\n\nOne of the four datasets used in [FVC2006](http://bias.csr.unibo.it/fvc2006/default.asp) competition. It is split into A (140 fingers) and B (10 fingers) subsets.\n\n- Size: 150 fingers x 12 impressions\n- Impression type: synthetic plain\n- Format: BMP, 500dpi, 288x384px\n- License: signed 2-year [license agreement](http://atvs.ii.uam.es/atvs/licenses/FVC2006_License.pdf)\n- Download: see [instructions](http://atvs.ii.uam.es/atvs/fvc2006.html)\n- Documentation: [FVC2006 datasets](http://bias.csr.unibo.it/fvc2006/databases.asp)\n- Generator: [SFinGe](http://biolab.csr.unibo.it/research.asp?organize=Activities\u0026select=\u0026selObj=12\u0026pathSubj=111%7C%7C12\u0026) v3.0\n\n### CASIA-PalmprintV1\n\nPalmprint dataset collected by Chinese Academy of Sciences. No friction ridges.\n\n- Size: 312 subjects x 2 hands x 8 impressions\n- Impression type: contactless palm without friction ridges\n- Format: grayscale JPEG, 640x480px, variable DPI\n- License: bundled in [dataset description](http://www.idealtest.org/dbDetailForUser.do?id=5#/datasetDetail/5), prohibits publishing and redistribution\n- Download: [download page](http://www.idealtest.org/dbDetailForUser.do?id=5#/datasetDetail/5) (requires signup)\n- Documentation: [attached on download page](http://www.idealtest.org/dbDetailForUser.do?id=5#/datasetDetail/5)\n- Population: Chinese citizens\n- Sensor: custom\n\n### CASIA-MS-PalmprintV1\n\nMultispectral hand dataset collected by Chinese Academy of Sciences. No friction ridges.\n\n- Size: 100 subjects x 2 hands x 6 impressions x 6 wavelengths\n- Impression type: contactless hand without friction ridges\n- Format: grayscale JPEG, 768x576px, variable DPI\n- License: bundled in [dataset description](http://www.idealtest.org/dbDetailForUser.do?id=6#/datasetDetail/6), prohibits publishing and redistribution\n- Download: [download page](http://www.idealtest.org/dbDetailForUser.do?id=6#/datasetDetail/6) (requires signup)\n- Documentation: [attached on download page](http://www.idealtest.org/dbDetailForUser.do?id=6#/datasetDetail/6)\n- Population: Chinese citizens\n- Enrollment: pegs control hand position\n- Sensor: custom\n\n### FVC2000 DB1 A\n\nThe larger, hidden part of FVC2000 DB1, one of the four datasets used in [FVC2000](http://bias.csr.unibo.it/fvc2000/default.asp) competition.\n\n- Size: 100 fingers x 8 impressions\n- Impression type: plain\n- Format: TIFF, 500dpi, 300x300px\n- Cost: [~140€](http://bias.csr.unibo.it/maltoni/handbook/) (includes all 12 FVC datasets and a book)\n- Documentation: [FVC2000 datasets](http://bias.csr.unibo.it/fvc2000/databases.asp)\n- Population: white students\n- Enrollment: unmoderated\n- Sensor: optical, 500dpi, Secure Desktop Scanner by KeyTronic\n\n### FVC2000 DB2 A\n\nThe larger, hidden part of FVC2000 DB2, one of the four datasets used in [FVC2000](http://bias.csr.unibo.it/fvc2000/default.asp) competition.\n\n- Size: 100 fingers x 8 impressions\n- Impression type: plain\n- Format: TIFF, 500dpi, 256x364px\n- Cost: [~140€](http://bias.csr.unibo.it/maltoni/handbook/) (includes all 12 FVC datasets and a book)\n- Documentation: [FVC2000 datasets](http://bias.csr.unibo.it/fvc2000/databases.asp)\n- Population: white students\n- Enrollment: unmoderated\n- Sensor: capacitive, 500dpi, TouchChip by ST Microelectronics\n\n### FVC2000 DB3 A\n\nThe larger, hidden part of FVC2000 DB3, one of the four datasets used in [FVC2000](http://bias.csr.unibo.it/fvc2000/default.asp) competition.\n\n- Size: 100 fingers x 8 impressions\n- Impression type: plain\n- Format: TIFF, 500dpi, 448x478px\n- Cost: [~140€](http://bias.csr.unibo.it/maltoni/handbook/) (includes all 12 FVC datasets and a book)\n- Documentation: [FVC2000 datasets](http://bias.csr.unibo.it/fvc2000/databases.asp)\n- Population: white, 5-73 years\n- Enrollment: partial QA\n- Sensor: optical, 500dpi, DF-90 by Identicator Technology\n\n### FVC2000 DB4 A\n\nThe larger, hidden part of FVC2000 DB4, one of the four datasets used in [FVC2000](http://bias.csr.unibo.it/fvc2000/default.asp) competition. This dataset is synthetic.\n\n- Size: 100 fingers x 8 impressions\n- Impression type: synthetic plain\n- Format: TIFF, 500dpi, 240x320px\n- Cost: [~140€](http://bias.csr.unibo.it/maltoni/handbook/) (includes all 12 FVC datasets and a book)\n- Documentation: [FVC2000 datasets](http://bias.csr.unibo.it/fvc2000/databases.asp)\n- Generator: unknown\n\n### FVC2002 DB1 A\n\nThe larger, hidden part of FVC2002 DB1, one of the four datasets used in [FVC2002](http://bias.csr.unibo.it/fvc2002/) competition.\n\n- Size: 100 fingers x 8 impressions\n- Impression type: plain\n- Format: TIFF, 500dpi, 388x374px\n- Cost: [~140€](http://bias.csr.unibo.it/maltoni/handbook/) (includes all 12 FVC datasets and a book)\n- Documentation: [FVC2002 datasets](http://bias.csr.unibo.it/fvc2002/databases.asp)\n- Population: white students\n- Enrollment: artificial difficulty\n- Sensor: optical, 500dpi, TouchView II by Identix\n\n### FVC2002 DB2 A\n\nThe larger, hidden part of FVC2002 DB2, one of the four datasets used in [FVC2002](http://bias.csr.unibo.it/fvc2002/) competition.\n\n- Size: 100 fingers x 8 impressions\n- Impression type: plain\n- Format: TIFF, 569dpi, 296x560px\n- Cost: [~140€](http://bias.csr.unibo.it/maltoni/handbook/) (includes all 12 FVC datasets and a book)\n- Documentation: [FVC2002 datasets](http://bias.csr.unibo.it/fvc2002/databases.asp)\n- Population: white students\n- Enrollment: artificial difficulty\n- Sensor: optical, 569dpi, FX2000 by Biometrika\n\n### FVC2002 DB3 A\n\nThe larger, hidden part of FVC2002 DB3, one of the four datasets used in [FVC2002](http://bias.csr.unibo.it/fvc2002/) competition.\n\n- Size: 100 fingers x 8 impressions\n- Impression type: plain\n- Format: TIFF, 500dpi, 300x300px\n- Cost: [~140€](http://bias.csr.unibo.it/maltoni/handbook/) (includes all 12 FVC datasets and a book)\n- Documentation: [FVC2002 datasets](http://bias.csr.unibo.it/fvc2002/databases.asp)\n- Population: white students\n- Enrollment: artificial difficulty\n- Sensor: capacitive, 500dpi, 100 SC by Precise Biometrics\n\n### FVC2002 DB4 A\n\nThe larger, hidden part of FVC2002 DB4, one of the four datasets used in [FVC2002](http://bias.csr.unibo.it/fvc2002/) competition. This dataset is synthetic.\n\n- Size: 100 fingers x 8 impressions\n- Impression type: synthetic plain\n- Format: TIFF, 500dpi, 288x384px\n- Cost: [~140€](http://bias.csr.unibo.it/maltoni/handbook/) (includes all 12 FVC datasets and a book)\n- Documentation: [FVC2002 datasets](http://bias.csr.unibo.it/fvc2002/databases.asp)\n- Generator: [SFinGe](http://biolab.csr.unibo.it/research.asp?organize=Activities\u0026select=\u0026selObj=12\u0026pathSubj=111%7C%7C12\u0026) v2.51\n\n### FVC2004 DB1 A\n\nThe larger, hidden part of FVC2004 DB1, one of the four datasets used in [FVC2004](http://bias.csr.unibo.it/fvc2004/) competition.\n\n- Size: 100 fingers x 8 impressions\n- Impression type: plain\n- Format: TIFF, 500dpi, 640x480px\n- Cost: [~140€](http://bias.csr.unibo.it/maltoni/handbook/) (includes all 12 FVC datasets and a book)\n- Documentation: [FVC2004 datasets](http://bias.csr.unibo.it/fvc2004/databases.asp)\n- Population: white students\n- Enrollment: artificial difficulty\n- Sensor: optical, 500dpi, V300 by CrossMatch\n\n### FVC2004 DB2 A\n\nThe larger, hidden part of FVC2004 DB2, one of the four datasets used in [FVC2004](http://bias.csr.unibo.it/fvc2004/) competition.\n\n- Size: 100 fingers x 8 impressions\n- Impression type: plain\n- Format: TIFF, 512dpi, 328x364px\n- Cost: [~140€](http://bias.csr.unibo.it/maltoni/handbook/) (includes all 12 FVC datasets and a book)\n- Documentation: [FVC2004 datasets](http://bias.csr.unibo.it/fvc2004/databases.asp)\n- Population: white students\n- Enrollment: artificial difficulty\n- Sensor: optical, 512dpi, U.are.U 4000 by Digital Persona\n\n### FVC2004 DB3 A\n\nThe larger, hidden part of FVC2004 DB3, one of the four datasets used in [FVC2004](http://bias.csr.unibo.it/fvc2004/) competition.\n\n- Size: 100 fingers x 8 impressions\n- Impression type: plain\n- Format: TIFF, 512dpi, 300x480px\n- Cost: [~140€](http://bias.csr.unibo.it/maltoni/handbook/) (includes all 12 FVC datasets and a book)\n- Documentation: [FVC2004 datasets](http://bias.csr.unibo.it/fvc2004/databases.asp)\n- Population: white students\n- Enrollment: artificial difficulty\n- Sensor: thermal sweep, 512dpi, FingerChip FCD4B14CB by Atmel\n\n### FVC2004 DB4 A\n\nThe larger, hidden part of FVC2004 DB4, one of the four datasets used in [FVC2004](http://bias.csr.unibo.it/fvc2004/) competition. This dataset is synthetic.\n\n- Size: 100 fingers x 8 impressions\n- Impression type: synthetic plain\n- Format: TIFF, 500dpi, 288x384px\n- Cost: [~140€](http://bias.csr.unibo.it/maltoni/handbook/) (includes all 12 FVC datasets and a book)\n- Documentation: [FVC2004 datasets](http://bias.csr.unibo.it/fvc2004/databases.asp)\n- Generator: [SFinGe](http://biolab.csr.unibo.it/research.asp?organize=Activities\u0026select=\u0026selObj=12\u0026pathSubj=111%7C%7C12\u0026) v3.0\n\n## Public pairsets\n\n### MINEX validation dataset\n\nSmall public dataset that can be used to prepare submissions to [MINEX competition](https://www.nist.gov/itl/iad/image-group/minutiae-interoperability-exchange-minex-iii). Part of [MINEX validation tool](https://github.com/usnistgov/minex/tree/master/minexiii/validation).\n\n- Size: 50 subjects x 10 fingers x 2 impressions\n- Impression type: plain\n- Format: raw grayscale, [separate metadata](https://github.com/usnistgov/minex/blob/master/minexiii/validation/minexiii_validation_data.h), 500dpi\n- License: [permissive](https://github.com/usnistgov/minex/blob/master/LICENSE.md)\n- Download: [GitHub](https://github.com/usnistgov/minex/tree/master/minexiii/validation/validation_imagery_raw)\n\n## Licensed pairsets\n\n### NIST Special Database 300\n\nSegmented scanned fingerprint cards from US law enforcement. This is technically a single impression dataset, but since every finger is present twice as rolled and flat impression, the dataset can be considered a pairset.\n\n- Size: 888 subjects x 10 fingers x 2 impressions\n- Impression type: plain, rolled, 4-finger\n- Format: PNG, 500/1000/2000dpi\n- License: [simple confidentiality rules](https://nigos.nist.gov/datasets/sd300/request)\n- Download: via [request page](https://nigos.nist.gov/datasets/sd300/request)\n- Documentation: [overview page](https://www.nist.gov/itl/iad/image-group/nist-special-database-300), [user guide](https://nvlpubs.nist.gov/nistpubs/TechnicalNotes/NIST.TN.1993.pdf)\n- Population: arrested US citizens\n- Enrollment: controlled but with some uncooperative subjects\n- Technology: scanned ink\n\n## Licensed latent datasets\n\n### NIST Special Database 302 E\n\nDataset of latent fingerprints of subjects from [NIST Special Database 302](#nist-special-database-302). Latent fingerprints from this dataset are supposed to be matched with plain/rolled fingerprints from NIST Special Database 302.\n\n- Size: 200 subjects x 50 impressions\n- Impression type: latent, finger and palm\n- Format: PNG, 1000-1500dpi\n- License: [simple confidentiality rules](https://nigos.nist.gov/datasets/sd302/request)\n- Download: via [request page](https://nigos.nist.gov/datasets/sd302/request)\n- Documentation: [overview page](https://www.nist.gov/itl/iad/image-group/nist-special-database-302), [user guide](https://nvlpubs.nist.gov/nistpubs/TechnicalNotes/NIST.TN.2007.pdf)\n- Population: volunteers from US, subjects identical to NIST Special Database 302\n- Activity: variety of activities that result in latent fingerprints\n- Technology: variety of latent fingerprint collection methods\n\n### NIST Special Database 301 B\n\nDataset of latent fingerprints of subjects from [NIST Special Database 301 A](#nist-special-database-301-a). Latent fingerprints from this dataset are supposed to be matched with plain/rolled fingerprints from NIST Special Database 301 A.\n\n- Size: 24 subjects x 50 impressions\n- Impression type: latent, finger and palm\n- Format: PNG, 1000-1500dpi\n- License: [simple confidentiality rules](https://nigos.nist.gov/datasets/sd301/request)\n- Download: via [request page](https://nigos.nist.gov/datasets/sd301/request)\n- Documentation: [overview page](https://www.nist.gov/itl/iad/image-group/nist-special-database-301), [user guide](https://nvlpubs.nist.gov/nistpubs/TechnicalNotes/NIST.TN.2002.pdf)\n- Population: volunteers from US, subset of subjects from NIST Special Database 301 A\n- Activity: variety of activities that result in latent fingerprints\n- Technology: variety of latent fingerprint collection methods\n\n## Public unpaired datasets\n\n### SOCOFing\n\nSokoto Coventry Fingerprint Dataset (SOCOFing) is a single impression dataset. Images are tagged with gender and finger position. Real images are complemented with synthetically damaged versions.\n\n- Size: 600 subjects x 10 fingers x 1 impression\n- Impression type: plain\n- Format: BMP, declared 500dpi, really 96x103px @ ~200dpi\n- License: for noncommercial research, see [paper](https://arxiv.org/pdf/1807.10609.pdf)\n- Download: [Kaggle](https://www.kaggle.com/datasets/ruizgara/socofing)\n- Documentation: [Arxiv paper](https://arxiv.org/pdf/1807.10609.pdf)\n- Population: African\n- Sensor: Hamster Plus (HSDU03P), SecuGen SDU03P\n\n## Secret datasets\n\nDatasets of some of these competitions might overlap. There's no way to know for sure, so all competitions are listed.\n\n- [FVC-onGoing Fingerprint Verification (FV)](https://biolab.csr.unibo.it/FVCOnGoing/UI/Form/BenchmarkAreas/BenchmarkAreaFV.aspx)\n- [FVC-onGoing Palmprint Verification (PV)](https://biolab.csr.unibo.it/FVCOnGoing/UI/Form/BenchmarkAreas/BenchmarkAreaPV.aspx)\n- [FVC-onGoing Fingerprint Matching (FMISO)](https://biolab.csr.unibo.it/FVCOnGoing/UI/Form/BenchmarkAreas/BenchmarkAreaFMISO.aspx)\n- [FVC-onGoing Fingerprint Indexing (FIDX)](https://biolab.csr.unibo.it/FVCOnGoing/UI/Form/BenchmarkAreas/BenchmarkAreaFIDX.aspx)\n- [FVC-onGoing Fingerprint Orientation Extraction (FOE)](https://biolab.csr.unibo.it/FVCOnGoing/UI/Form/BenchmarkAreas/BenchmarkAreaFOE.aspx)\n- [FVC-onGoing Secure Template Fingerprint Verification (STFV)](https://biolab.csr.unibo.it/FVCOnGoing/UI/Form/BenchmarkAreas/BenchmarkAreaSTFV.aspx)\n- [NIST Minutiae Interoperability Exchange (MINEX)](https://www.nist.gov/itl/iad/image-group/minutiae-interoperability-exchange-minex-iii)\n- [NIST Slap Fingerprint Segmentation Evaluation (SlapSeg)](https://www.nist.gov/itl/iad/image-group/slap-fingerprint-segmentation-evaluation-iii)\n- [NIST Proprietary Fingerprint Template (PFT)](https://www.nist.gov/itl/iad/image-group/proprietary-fingerprint-template-pft-iii)\n- [NIST Evaluation of Latent Friction Ridge Technology (ELFT)](https://www.nist.gov/itl/iad/image-group/evaluation-latent-friction-ridge-technology)\n\n## Generators\n\n- [SFinGe](http://biolab.csr.unibo.it/research.asp?organize=Activities\u0026select=\u0026selObj=12\u0026pathSubj=111%7C%7C12\u0026)\n\n## Other lists\n\n- :star: [NIST Biometric and Forensic Research Database Catalog](https://tsapps.nist.gov/BDbC/Search)\n- [Luigi Rosa's list](http://www.advancedsourcecode.com/fingerprintdatabase.asp)\n- [CVonline](https://homepages.inf.ed.ac.uk/rbf/CVonline/Imagedbase.htm#fingerprints)\n- [NIST Special Databases](https://www.nist.gov/itl/iad/image-group/resources/biometric-special-databases-and-software)\n- [FVC2000](http://bias.csr.unibo.it/fvc2000/download.asp), [FVC2002](http://bias.csr.unibo.it/fvc2002/download.asp), [FVC2004](http://bias.csr.unibo.it/fvc2004/download.asp)\n\n## Contribute\n\nIf you have something to add or correct here, please submit a PR or open an issue.\n\n## Legal\n\nEvery dataset has its own license. This [CC0](LICENSE) list was created by Robert Važan while working on [SourceAFIS](https://sourceafis.machinezoo.com/).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frobertvazan%2Ffingerprint-datasets","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frobertvazan%2Ffingerprint-datasets","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frobertvazan%2Ffingerprint-datasets/lists"}