vioft2nntf2t|tblJournal|Abstract_paper|0xf4ff23510a0000006b0f000001000c00 Palmprint recognition refers to recognizing a person on the basis of palmprint features. In this paper, we have proposed a palmprint based biometric authentication method with improvement in accuracy, so as to make it a real time palmprint authentication system. Several edge detection methods, Directional operator, Wavelet transform, Fourier transform etc. are available to extract line feature from the palmprint. In this paper, Sobel Code operators, Canny edge and Phase Congruency methods are applied to the palmprint image to extract palmprint features. The extracted Palmprint features are stored in Palmprint feature vector. The corresponding feature vectors are matched using sliding window with Hamming Distance similarity measurement method. In this paper, a Min Max Threshold Range (MMTR) method is proposed that helps in increasing overall system accuracy by reducing the False Acceptance Rate (FAR). The person authenticated by reference threshold is again verified by second level of authentication using MMTR method. Experimental results indicate that the MMTR method improves the False Acceptance Rate drastically. The accuracy improvement leads to proposed real time authentication system.
Jyoti Malik1, G. Sainarayanan2 and Ratna Dahiya3
1,3National Institute of Technology, Kurukshetra, India,2HCL Technologies Limited, Chennai, India
Canny Edge, Hamming Distance, Palmprint Identification, Phase Congruency, Sliding Window, Sobel Code
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| Published By :
ICTACT
Published In :
ICTACT Journal on Image and Video Processing
( Volume: 2 , Issue: 3 , Pages: 357-368 )
Date of Publication :
February 2012
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