Face verification using scale invariant feature transform with template security
| Autor: | Pukhraj P. Shrishrimal, Shubhangi Sapkal, Ratnadeep R. Deshmukh |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
021110 strategic
defence & security studies Biometrics Computer science business.industry Feature extraction Template security 0211 other engineering and technologies Scale-invariant feature transform Pattern recognition 02 engineering and technology Face verification 0202 electrical engineering electronic engineering information engineering Cryptosystem 020201 artificial intelligence & image processing Computer vision Artificial intelligence Invariant (mathematics) business |
| Zdroj: | FUZZ-IEEE |
| DOI: | 10.1109/fuzz-ieee.2017.8015454 |
| Popis: | Biometrie is a reliable and convenient way for person authentication. Template security is a major concern in practical implementation of biometric system. This work proposes cryptosystem for face verification with fuzzy vault. Here, a secrete value k is locked using fuzzy vault with a set of points. Fuzzy vault scheme is order invariant and applied for point set, hence SIFT is suitable feature extraction method. SIFT is distinctive invariant feature extraction method. As there is a trade-off between accuracy and security, this is a challenge to implement biometric template protection scheme which will give better accuracy of the biometric system. |
| Databáze: | OpenAIRE |
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