{"id":20423654,"url":"https://github.com/parthnagarkar875/sclera_recognition","last_synced_at":"2025-04-12T18:42:22.740Z","repository":{"id":112437024,"uuid":"176362753","full_name":"parthnagarkar875/Sclera_Recognition","owner":"parthnagarkar875","description":"A new method for bio metric authentication system was developed in which the users were authenticated on the basis of their Sclera. A photo of the user's eye was captured and it was processed with the help of filters and different algorithms to extract the features, namely Blood vessels visible on the user's Sclera. These features were stored in the database and were compared with the new features that were generated every time a user tried to authenticate herself. ","archived":false,"fork":false,"pushed_at":"2021-10-27T03:47:21.000Z","size":3858,"stargazers_count":8,"open_issues_count":0,"forks_count":5,"subscribers_count":0,"default_branch":"local","last_synced_at":"2025-03-26T12:51:17.306Z","etag":null,"topics":["biometrics","matlab","matlab-gui"],"latest_commit_sha":null,"homepage":"","language":"MATLAB","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/parthnagarkar875.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":"SECURITY_SYSTEM_USING_SCLERA.fig","support":null,"governance":null}},"created_at":"2019-03-18T20:18:05.000Z","updated_at":"2024-11-18T02:33:39.000Z","dependencies_parsed_at":"2023-05-14T23:15:16.711Z","dependency_job_id":null,"html_url":"https://github.com/parthnagarkar875/Sclera_Recognition","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/parthnagarkar875%2FSclera_Recognition","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/parthnagarkar875%2FSclera_Recognition/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/parthnagarkar875%2FSclera_Recognition/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/parthnagarkar875%2FSclera_Recognition/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/parthnagarkar875","download_url":"https://codeload.github.com/parthnagarkar875/Sclera_Recognition/tar.gz/refs/heads/local","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248617105,"owners_count":21134190,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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","matlab","matlab-gui"],"created_at":"2024-11-15T07:07:17.955Z","updated_at":"2025-04-12T18:42:22.695Z","avatar_url":"https://github.com/parthnagarkar875.png","language":"MATLAB","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003ch1 align=\"center\"\u003e\u003ca id=\"user-content--robot-go-karuna-karuna-go-warning-\" class=\"anchor\" aria-hidden=\"true\" href=\"#-robot-go-karuna-karuna-go-warning-\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath fill-rule=\"evenodd\" d=\"M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003cg-emoji class=\"g-emoji\" alias=\"india\" fallback-src=\"https://github.githubassets.com/images/icons/emoji/unicode/1f1ee-1f1f3.png\"\u003e🇮🇳\u003c/g-emoji\u003e \u003cg-emoji class=\"g-emoji\" alias=\"robot\" fallback-src=\"https://github.githubassets.com/images/icons/emoji/unicode/1f916.png\"\u003e:eyes:\u003c/g-emoji\u003e Sclera Recognition \u003cg-emoji class=\"g-emoji\" alias=\"microbe\" fallback-src=\"https://github.githubassets.com/images/icons/emoji/unicode/1f9a0.png\"\u003e:lock:\u003c/g-emoji\u003e\u003cg-emoji class=\"g-emoji\" alias=\"warning\" fallback-src=\"https://github.githubassets.com/images/icons/emoji/unicode/26a0.png\"\u003e:key:\u003c/g-emoji\u003e \u003c/h1\u003e\n\n\u003cdiv align=\"center\"\u003e\n\u003ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"/arghyadeep99/Go-Karuna-Go/blob/master/logo.jpg\"\u003e\u003cimg src=\"https://www.nec.co.nz/wp-content/uploads/2018/02/Close-up-of-womans-left-eye-showing-iris-recogntion-points-market.jpg\" class=\"center\" style=\"max-width:100%;\" width=\"400px\" height=\"200px\"\u003e\u003c/a\u003e\n \u003cp\u003e\u003c/p\u003e\n\n\u003cimg alt=\"Contributions Welcome\" src=\"https://camo.githubusercontent.com/da04b11eb09a13269b08225b3b88851ddb705e78/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f636f6e747269627574696f6e732d77656c636f6d652d677265656e3f7374796c653d666c6174\" data-canonical-src=\"https://img.shields.io/badge/contributions-welcome-green?style=flat\" style=\"max-width:100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/VirtualGoat/LinkedIn-Followers-Bot/blob/master/LICENSE\"\u003e\u003cimg alt=\"Git MIT license\" src=\"https://camo.githubusercontent.com/69f3027fc0ac656aa92d4f90937b48a5357d218f/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f48617273684b617061646961322f6769745f6261736963733f7374796c653d666c6174\" data-canonical-src=\"https://img.shields.io/github/license/HarshKapadia2/git_basics?style=flat\" style=\"max-width:100%;\"\u003e\u003c/a\u003e\n\u003c/div\u003e\n\n\u003ch3\u003eLink to my technical paper on this project:\u003c/h3\u003e https://www.irjet.net/archives/V5/i1/IRJET-V5I1235.pdf\n\n\u003ch3\u003e\u003ca id=\"user-content-tech-stack-of-this-project\" class=\"anchor\" aria-hidden=\"true\" href=\"#tech-stack-of-this-project\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath fill-rule=\"evenodd\" d=\"M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003eTech Stack of this Project:\u003c/h3\u003e\n\u003cul\u003e\n\u003cli\u003eLanguage: MATLAB\u003c/li\u003e\n\u003cli\u003eDependencies: MATLAB 2017b or higer\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e\u003c/p\u003e\n\n\u003ch3\u003e\u003ca id=\"user-content-to-run-this-project\" class=\"anchor\" aria-hidden=\"true\" href=\"#to-run-this-project\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath fill-rule=\"evenodd\" d=\"M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003eTo run this Project:\u003c/h3\u003e\n\n\u003cul\u003e\n\u003cli\u003eClone this repo \u003c/li\u003e\n\u003c/ul\u003e\n\n\u003cdiv class=\"highlight highlight-source-shell\"\u003e\u003cpre\u003egit clone https://github.com/VirtualGoat/Sclera_Recognition.git\n\u003cspan class=\"pl-c1\"\u003eopen\u003c/span\u003e Sclera_Recognition\nrun SECURITY_SYSTEM_USING_SCLERA.m \u003c/pre\u003e\u003c/div\u003e\n\n\n\u003ch2\u003e\u003ca id=\"user-content-flow-of-project\" class=\"anchor\" aria-hidden=\"true\" href=\"#flow-of-project\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M7.775 3.275C7.64252 3.41717 7.57039 3.60522 7.57382 3.79952C7.57725 3.99382 7.65596 4.1792 7.79337 4.31662C7.93079 4.45403 8.11617 4.53274 8.31047 4.53617C8.50477 4.5396 8.69282 4.46748 8.835 4.335L10.085 3.085C10.2708 2.89918 10.4914 2.75177 10.7342 2.65121C10.977 2.55064 11.2372 2.49888 11.5 2.49888C11.7628 2.49888 12.023 2.55064 12.2658 2.65121C12.5086 2.75177 12.7292 2.89918 12.915 3.085C13.1008 3.27082 13.2482 3.49142 13.3488 3.7342C13.4493 3.97699 13.5011 4.23721 13.5011 4.5C13.5011 4.76279 13.4493 5.023 13.3488 5.26579C13.2482 5.50857 13.1008 5.72917 12.915 5.915L10.415 8.415C10.2292 8.60095 10.0087 8.74847 9.76588 8.84911C9.52308 8.94976 9.26283 9.00157 9 9.00157C8.73716 9.00157 8.47691 8.94976 8.23411 8.84911C7.99132 8.74847 7.77074 8.60095 7.585 8.415C7.44282 8.28252 7.25477 8.21039 7.06047 8.21382C6.86617 8.21725 6.68079 8.29596 6.54337 8.43337C6.40596 8.57079 6.32725 8.75617 6.32382 8.95047C6.32039 9.14477 6.39252 9.33282 6.525 9.475C6.85001 9.80004 7.23586 10.0579 7.66052 10.2338C8.08518 10.4097 8.54034 10.5002 9 10.5002C9.45965 10.5002 9.91481 10.4097 10.3395 10.2338C10.7641 10.0579 11.15 9.80004 11.475 9.475L13.975 6.975C14.6314 6.31858 15.0002 5.4283 15.0002 4.5C15.0002 3.57169 14.6314 2.68141 13.975 2.025C13.3186 1.36858 12.4283 0.999817 11.5 0.999817C10.5717 0.999817 9.68141 1.36858 9.02499 2.025L7.775 3.275ZM3.085 12.915C2.89904 12.7292 2.75152 12.5087 2.65088 12.2659C2.55023 12.0231 2.49842 11.7628 2.49842 11.5C2.49842 11.2372 2.55023 10.9769 2.65088 10.7341C2.75152 10.4913 2.89904 10.2707 3.085 10.085L5.585 7.585C5.77074 7.39904 5.99132 7.25152 6.23411 7.15088C6.47691 7.05023 6.73716 6.99842 7 6.99842C7.26283 6.99842 7.52308 7.05023 7.76588 7.15088C8.00867 7.25152 8.22925 7.39904 8.415 7.585C8.55717 7.71748 8.74522 7.7896 8.93952 7.78617C9.13382 7.78274 9.3192 7.70403 9.45662 7.56662C9.59403 7.4292 9.67274 7.24382 9.67617 7.04952C9.6796 6.85522 9.60748 6.66717 9.475 6.525C9.14999 6.19995 8.76413 5.94211 8.33947 5.7662C7.91481 5.59029 7.45965 5.49974 7 5.49974C6.54034 5.49974 6.08518 5.59029 5.66052 5.7662C5.23586 5.94211 4.85001 6.19995 4.525 6.525L2.025 9.02499C1.36858 9.68141 0.999817 10.5717 0.999817 11.5C0.999817 12.4283 1.36858 13.3186 2.025 13.975C2.68141 14.6314 3.57169 15.0002 4.5 15.0002C5.4283 15.0002 6.31858 14.6314 6.975 13.975L8.225 12.725C8.35748 12.5828 8.4296 12.3948 8.42617 12.2005C8.42274 12.0062 8.34403 11.8208 8.20662 11.6834C8.0692 11.546 7.88382 11.4672 7.68952 11.4638C7.49522 11.4604 7.30717 11.5325 7.165 11.665L5.915 12.915C5.72925 13.1009 5.50867 13.2485 5.26588 13.3491C5.02308 13.4498 4.76283 13.5016 4.5 13.5016C4.23716 13.5016 3.97691 13.4498 3.73411 13.3491C3.49132 13.2485 3.27074 13.1009 3.085 12.915Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003eFlow of project:\u003c/h2\u003e\n\u003col\u003e\n\u003cli\u003e\n\u003cp\u003eYou must first register a user and give an image of the user's eye as input by running \u003ca href=\"https://github.com/VirtualGoat/Sclera_Recognition/blob/master/to_enroll.m\"\u003eto_enroll.m\u003c/a\u003e script.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eRun the \u003ca href=\"https://github.com/VirtualGoat/Sclera_Recognition/blob/master/SECURITY_SYSTEM_USING_SCLERA.m\"\u003eSECURITY_SYSTEM_USING_SCLERA.m\u003c/a\u003e and select the image to be authenticated.\u003c/p\u003e\n\u003cimg src=\"https://github.com/VirtualGoat/Sclera_Recognition/blob/local/Working%20SS/1.JPG\" width=\"700px\" height=\"500px\"\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eClick on Green Plane Extraction button to extract the Green plane from the image.\u003c/p\u003e\n\u003cimg src=\"https://github.com/VirtualGoat/Sclera_Recognition/blob/local/Working%20SS/2.JPG\" width=\"700px\" height=\"500px\"\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eClick on Thresholding button for Sclera segmentation.\u003c/p\u003e\n \u003cimg src=\"https://github.com/VirtualGoat/Sclera_Recognition/blob/local/Working%20SS/3.JPG\" width=\"700px\" height=\"500px\"\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eClick on Gaussian Filter for performing feature enhancement.\u003c/p\u003e\n \u003cimg src=\"https://github.com/VirtualGoat/Sclera_Recognition/blob/local/Working%20SS/4.JPG\" width=\"700px\" height=\"500px\"\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eClick on Vessel Segmentation to extract the vessel patterns.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eClick on Feature detection to detect features to be stored from the vessel patterns.\u003c/p\u003e\n\u003cimg src=\"https://github.com/VirtualGoat/Sclera_Recognition/blob/local/Working%20SS/6.JPG\" width=\"700px\" height=\"500px\"\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eClick on Check for Authentication to authenticate the user.\u003c/p\u003e\n\u003cimg src=\"https://github.com/VirtualGoat/Sclera_Recognition/blob/local/Working%20SS/7.JPG\" width=\"700px\" height=\"500px\"\u003e\n\u003cimg src=\"https://github.com/VirtualGoat/Sclera_Recognition/blob/local/Working%20SS/8.JPG\" width=\"700px\" height=\"500px\"\u003e\n\u003c/li\u003e\n\u003c/ol\u003e\n\n\u003ch4\u003e\u003ca id=\"user-content-this-project-still-has-scope-of-development-so-you-can-also-contribute-to-this-project-as-follows\" class=\"anchor\" aria-hidden=\"true\" href=\"#this-project-still-has-scope-of-development-so-you-can-also-contribute-to-this-project-as-follows\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath fill-rule=\"evenodd\" d=\"M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003eThis project still has scope of development, so you can also contribute to this Project as follows:\u003c/h4\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https://github.com/VirtualGoat/Sclera_Recognition\"\u003eFork\u003c/a\u003e this Repository.\u003c/li\u003e\n\u003cli\u003eClone your Fork on a different branch:\n\u003cul\u003e\n\u003cli\u003e\u003ccode\u003egit clone -b \u0026lt;name-of-branch\u0026gt; https://github.com/VirtualGoat/Sclera_Recognition.git\u003c/code\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/li\u003e\n\u003cli\u003eAfter adding any feature:\n\u003cul\u003e\n\u003cli\u003eGo to your fork and create a pull request.\u003c/li\u003e\n\u003cli\u003eI will test your modifications and merge changes.\u003c/li\u003e\n \u003c/ul\u003e\n \u003c/li\u003e\n \u003c/ul\u003e\n\u003chr\u003e\n\u003ch3 align=\"center\"\u003e\u003ca id=\"user-content-developed-with-heart-by-\" class=\"anchor\" aria-hidden=\"true\" href=\"#developed-with-heart-by-\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath fill-rule=\"evenodd\" d=\"M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003cb\u003eDeveloped with \u003cg-emoji class=\"g-emoji\" alias=\"heart\" fallback-src=\"https://github.githubassets.com/images/icons/emoji/unicode/2764.png\"\u003e❤️\u003c/g-emoji\u003e by: \u003c/b\u003e\u003c/h3\u003e\n\u003ctable\u003e  \n  \u003ctbody\u003e\u003ctr\u003e\n\u003ctd\u003e\n  \u003ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https://avatars2.githubusercontent.com/u/48564003?s=460\u0026u=0d5be4605ca9d79b7e75b53e9464622de625a71f\u0026v=4\"\u003e\u003cimg src=\"https://avatars2.githubusercontent.com/u/48564003?s=460\u0026u=0d5be4605ca9d79b7e75b53e9464622de625a71f\u0026v=4\" style=\"max-width:100%;\" width=\"150px\" height=\"150px\"\u003e\u003c/a\u003e\n\u003cpre\u003e\u003ccode\u003e Parth Nagarkar\n\u003c/code\u003e\u003c/pre\u003e\n\u003cp align=\"center\"\u003e\n\u003ca href=\"https://github.com/VirtualGoat\"\u003e\u003cimg 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