Fake Multi Biometric Detection using Image Quality Assessment |
Author(s): |
| R. Brindha , SRI ESHWAR COLLEGE OF ENGINEERING; V. Mathiazhagan, SRI ESHWAR COLLEGE OF ENGINEERING |
Keywords: |
| Biometric Systems, Image quality assessment, Security, Attacks, Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Quadrature Discriminant Analysis, Feature extraction, classification |
Abstract |
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In the recent era where technology plays a prominent role, persons can be identified (for security reasons) based on their behavioral and physiological characteristics (for example fingerprint, face, iris, key-stroke, signature, voice, etc.) through a computer system called the biometric system. In these kinds of systems the security is still a question mark because of various intruders and attacks. This problem can be solved by improving the security using some efficient algorithms available. Hence the fake person can be identified if he/she uses any synthetic sample of an authenticated person and a fake person who is trying to forge can be identified and authenticated. |
Other Details |
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Paper ID: IJSRDV2I7175 Published in: Volume : 2, Issue : 7 Publication Date: 01/10/2014 Page(s): 514-519 |
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