FUZZY FUSION OF PCA, ICA AND ILDA FACE ALGORITHMS FOR ENHANCED USER AUTHENTICATION
Use of biometrics has increased over last few years due to its inherent advantages over customary identification tools such as token card and password, etc. In biometrics, after fingerprint, face recognition is second most preferred method with reasonably good accuracy. In some applications like CCT...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor's University
2017-09-01
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| Series: | Journal of Engineering Science and Technology |
| Subjects: | |
| Online Access: | http://jestec.taylors.edu.my/Vol%2012%20issue%209%20September%202017/12_9_1.pdf |
| Summary: | Use of biometrics has increased over last few years due to its inherent advantages over customary identification tools such as token card and password, etc. In biometrics, after fingerprint, face recognition is second most preferred method with reasonably good accuracy. In some applications like CCTV cameras where face of a person is available for processing, face recognition techniques can to be very useful. In this paper, integration of face recognition techniques PCA, ICA and ILDA using fuzzy fusion method is detailed. The preliminary results clearly reveal that the fusion of methods
improves the accuracy of the user identification. |
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| ISSN: | 1823-4690 |