Palm Vein Verification Using Gabor Filter
Palm vein authentication is one of the modern biometric techniques, which employs the vein pattern in the human palm to verify the person. The merits of palm vein on classical biometric (e.g. fingerprint, iris, face) are a low risk of falsification, difficulty of duplicated and stability. In this research, a new method is proposed for personal verification based on palm vein features. In the propose method, the palm vein images are firstly enhanced and then the features are extracted by using bank of Gabor filters. Then Fisher Discriminated Analysis (FDA) is used to reduce the dimension of the features vectors. For vein pattern verification, this work uses Nearest Neighbors method. The EER of the proposed method is 0.2335%.
Keywords: Palm vein, Gabor Filter, EigenVein, FisherVein .
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ABOUT THE AUTHOR
Ali Mohsin Al-Juboori
received his B. S. degree in 2002 and M. Sc. degree in 2005 in Computer Science both from the college of Science, Al-Nahrain University, Baghdad, Iraq. He is now a Ph. D. candidate at the School of Computer Science and Technology of Harbin Institute of Technology. His research interests include Biometrics, Pattern Recognition, and Image Processing.
Ali Mohsin Al-Juboori
received his B. S. degree in 2002 and M. Sc. degree in 2005 in Computer Science both from the college of Science, Al-Nahrain University, Baghdad, Iraq. He is now a Ph. D. candidate at the School of Computer Science and Technology of Harbin Institute of Technology. His research interests include Biometrics, Pattern Recognition, and Image Processing.
