【基金资助】 国家自然科学基金(61573151); 广东省自然科学基金(2016A030313468); 广东省科技计划(2017A010101026); 广州市科技计划(201510010088);
Palm Print and Palm Vein Joint Recognition System Based on Video
【Abstract】A novel palm print and palm vein joint recognition system based on video is built. First of all, a novel registration and identification approach is proposed. Instead of getting static image by traditional collection method, we obtain the palm motion video though the proposed system. The approach allows the users to simply sweep their palms over the acquisition platform without stop, which effectively enhances the affinity of authentication. A new strategy of fusing rotating videos with sweeping videos to generate the register feature set is proposed, which ensures the abundance and integrality of the register feature and enhances the robustness of the system to various palm postures in authentication. A cascade fusion strategy is presented to improve the recognition speed of the registered users. We construct a palm print and palm vein database containing 1 200 videos with motion blur from 100 palms and carry out a series of simulations. The results show that the proposed system can achieve a low equal error rate of 1.51% within the expected time consumption of 915 ms, which demonstrates the effectiveness and practicality of the new system.
【Keywords】 machine vision; biometrics authentication; palm print recognition; palm vein recognition; cascade fusion;
【Funds】 National Natural Science Foundation of China (61573151); Natural Science Foundation of Guangdong Province (2016A030313468); Science and Technology Program of Guangdong Province (2017A010101026); Science and Technology Program of Guangzhou City (201510010088);
 Song W, Kim T, Kim H C, et al. A finger-vein verification system using mean curvature [J]. Pattern Recognition Letters, 2011 32 (11): 1541–1547.
 Li Q, Qiu Z D, Sun D M, et al. A novel biometric: Knuckleprint [J]. Acta Automatica Sinica, 2007, 33 (6): 596–601(in Chinese).
 Kang B J, Park K R. Multimodal biometric method based on vein and geometry of a single finger [J]. IETComputer Vision, 2010, 4 (3): 209–217.
 Kang B J, Kang B P, Yoo J H, et al. Multimodal biometric method that combines veins, prints, and shape of a finger [J]. Optical Engineering, 2011, 50 (2): 029801.
 Zhu L Q, Zhang S Y. Multimodal biometric identification system based on finger geometry, knuckle print and palm print [J]. Pattern Recognition Letters, 2010, 31 (12): 1641–1649.
 Kong A, Zhang D, Kamel M. A survey of palmprint recognition [J]. Pattern Recognition, 2009, 42 (7): 1408–1418.
 Jia W, Zhang B, Lu J, et al. Palmprint recognition based on complete direction representation [J]. IEEE Transactions on Image Processing, 2017, 26 (9): 4483–4498.
 Fei L, Xu Y, Zhang D. Half-orientation extraction of palmprint features [J]. Pattern Recognition Letters, 2016, 69: 35–41.
 Paula A, Rajeswari E, Lakshmi S S, et al. Robust palm vein pattern recognition system based on hybrid texture descriptors [J]. Biometrics and Bioinformatics, 2016, 8: 186–189.
 Wang L, Leedham G, Cho S Y. Minutiae feature analysis for infrared hand vein pattern biometrics [J]. Pattern Recognition, 2008, 41 (3): 920–929.
 Zhao S, Wang B, Tang C Y. Arm vein feature extraction and matching based on chain code [J]. Acta Optica Sinica, 2016, 36 (5): 0515003 (in Chinese).
 Zhang D, Guo Z, Lu G, et al. Online joint palmprint and palmvein verification [J]. Expert Systems with Applications, 2011, 38 (3): 2621–2631.
 Kumar A, Zhang D. Personal recognition using hand shape and texture [J]. IEEE Transactions on Image Processing, 2006, 15 (8): 2454–2461.
 Qin W, Yin Y L, Liu L L. Video-based fingerprint verification [J]. Sensors, 2012, 13 (9): 11660–11686.
 Fang Y X, Kang W X, Wu Q X, et al. A novel videobased system for in-air signature verification [J]. Computers & Electrical Engineering, 2017, 57: 1-14.
 Kang W X, Wu Q X. Contactless palm vein recognition using a mutual foreground-based local binary pattern [J]. IEEE Transactions on Information Forensics and Security, 2014, 9 (11): 1974–1985.
 Miura N, Nagasaka A, Miyatake T. Extraction of finger-vein patterns using maximum curvature points in image profiles [J]. IEICE Transactions on Information and Systems, 2007, E90D (8): 1185–1194.
 Ojala T, Pietikainen M, Maenpaa T. Multiresolution gray-scale and rotation invariant texture classification with local binary patterns [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002, 24 (7): 971–987.
 Kang W X, Chen X P. Fast representation based on a double orientation histogram for local image descriptors [J]. IEEE Transactions on Image Processing, 2015, 24 (10): 2915–2927.
 Lowe D G. Distinctive image features from scale-invariant keypoints [J]. International Journal of Computer Vision, 2004, 60 (2): 91–110.
 Yan X K, Kang W X, Deng F Q, et al. Palm vein recognition based on multi-sampling and feature-level fusion [J]. Neurocomputing, 2015, 151 (2): 798–807.