Vein Pattern Decomposition (VPD) Method: a Novel Approach to Build Practical Palm Vein Based Person Authentication System
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In this paper, the authors propose a novel approach for people identification using the palm vein decomposition method. The complete system consists of Image acquisition, Noise (Hair) removal & Image enhancement, Vein pattern segmentation, Skeletonization and pattern matching. The images are acquired using NIR imaging method. RoI, noise removal, image thresholding, image binarization and image skeletonization steps are carried out on each image. Feature extraction was carried out using our novel Vein Pattern Decomposition (VPD). A database of 2640 images of 55 subjects has been created for testing. The performance evaluation is carried out in terms of FAR and FRR. VPD is a novel approach used for building this practical real time system for people authentication.
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H. Faulds, Dactylography or The Study of Fingerprints, XXth Century Science Series, (Electronic Edition by Galton.org ©, 2005), available on http://galton.org/fingerprints/books/index.htm
J. Daugman, High confidence visual recognition of persons by a test of statistical independence, (1993) IEEE Trans. Pattern Analysis and Machine Intelligence, 15(11), pp.1148-1161.
R. Brunelli and T. Poggio, Face Recognition: Features versus Templates, (1993) IEEE Trans. Pattern Analysis and Machine Intelligence,), 15(10), pp.1042-1052.
M. Choras, Ear Biometrics Based on Geometrical Feature Extraction, (2005) Electronic letters on computer vision and image analysis, 5(3), pp.84-95.
K. Chang, Bowyer K. W., S. Sarkar, B. Victor, Comparison and Combination of Ear and Face Images in Appearance-Based Biometrics, (2003) IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(9), pp. 1160-1165.
T. Matsumoto, H. Matsumoto, K. Yamada, S. Hoshino, Impact of artificial "gummy" fingers on fingerprint systems, (2002) R.L. Renesse (Ed.), Proceedings of SPIE - The International Society for Optical Engineering, 4677, pp. 275-289.
Columbus O. H., Face Biometrics Under Spoofing Attacks: Vulnerabilities, Countermeasures, Open Issues, and Research Directions, (2014) IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp: 113-118.
Sang-Kyun I.M. et al., An Biometric Identification System by Extracting Hand Vein Patterns, (2001) Journal of Korean Physical Society, 38(3) pp. 268-272.
Wang Kejun, Ding Yuhang, Wang Dazhen, A Study of Hand Vein-Based Identity Authentication Method, (2005) Science & Technology Review, 23(1), pp.35-37.
Tanaka, Toshiyuki, Kubo, Naohiko, Biometric authentication by hand vein patterns, (2004) Proceedings of the SICE Annual Conference, SICE Annual Conference, 2671-2675.
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