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https://github.com/himanshumahajan138/fraudguard
This system utilizes Optical Character Recognition (OCR) extracts text, while computer vision techniques map document layout. Then, SIFT (Scale-Invariant Feature Transform) cleverly matches documents to pre-defined templates, even with variations. This intelligent matching helps identify potential fraud for further investigation.
https://github.com/himanshumahajan138/fraudguard
algorithm automation document-matching flask fraud-detection machienlearning nlp-machine-learning ocr-recognition opencv python similar-document similar-document-template-matching-algorithm similarity-score template template-matching
Last synced: about 22 hours ago
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This system utilizes Optical Character Recognition (OCR) extracts text, while computer vision techniques map document layout. Then, SIFT (Scale-Invariant Feature Transform) cleverly matches documents to pre-defined templates, even with variations. This intelligent matching helps identify potential fraud for further investigation.
- Host: GitHub
- URL: https://github.com/himanshumahajan138/fraudguard
- Owner: himanshumahajan138
- Created: 2024-05-13T19:22:01.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2024-08-02T08:51:30.000Z (6 months ago)
- Last Synced: 2024-08-02T10:26:48.085Z (6 months ago)
- Topics: algorithm, automation, document-matching, flask, fraud-detection, machienlearning, nlp-machine-learning, ocr-recognition, opencv, python, similar-document, similar-document-template-matching-algorithm, similarity-score, template, template-matching
- Language: Python
- Homepage:
- Size: 171 MB
- Stars: 2
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md