Fingerprint verification using matlab
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Existing security measures rely on passwords, tokens, or biometrics for authentication but can be weak. Fingerprint recognition is a stronger biometric authentication that involves acquiring fingerprint images, enhancing the images, extracting minutiae features from the fingerprints, and matching those features to verify identity. The process determines if verification succeeds or fails based on the fingerprint matching.
Fingerprint verification using matlab
- 1. PRAVEEN KUMAR KUSHWAH
- 3. In an increasingly digital world, reliable personal authentication has become an important human computer interface activity. National security, e-commerce and access to computer networks are some examples where establishing a person’s identity is vital. Existing security measures rely on knowledge-based approaches like passwords or token-based approaches such as swipe cards and passports to control access to physical and virtual spaces.
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- 14. Image Acquisition1 Image Acquisition2 Fingerprints Image1 Enhancement Fingerprints Image2 Enhancement Minutiae Feature Extraction1 Matching Methods Verification Succeeded Minutiae Feature Extraction2 Verification Failed
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