Abstract
Recent years have witnessed a growing interesting in develo** automatic 3D palmprint recognition systems. The key problem of 3D palmprint recognition is to contrive an effective representation. In this paper, we propose a 3D palmprint recognition method by completely fusing of multiple block wise features. First, we propose a shape index multi-direction binary code strategy to extract 2D texture-level features of 3D palmprint. Then, we use the compact surface type binary code scheme to characterize 3D structure-level features of 3D palmprint. Finally, we integrate them together to construct the complete block wise descriptor for 3D palmprint recognition. Experiments conducted on the public available 3D palmprint database validate the effectiveness of our proposed method.
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Benedikt L, Cosker D, Rosin PL, Marshall D (2010) Assessing the uniqueness and permanence of facial actions for use in biometric applications. IEEE Trans Syst Man Cybern Syst Hum 40(3):449–460. https://doi.org/10.1109/TSMCA.2010.2041656
Besl P, Jain RC (1998) Segmentation through variable-order surface fitting. IEEE Trans Pattern Anal Mach Intell 10(2):167–192. https://doi.org/10.1109/34.3881
Dai J, Zhou J (2011) Multifeature-based high-resolution palmprint recognition. IEEE Trans Pattern Anal Mach Intell 33(5):945–957. https://doi.org/10.1109/TPAMI.2010.164
Fei L, Xu Y, Tang W, Zhang D (2016) Double-orientation code and nonlinear matching scheme for palmprint recognition. Pattern Recogn 49:89–101. https://doi.org/10.1016/j.patcog.2015.08.001
Fei L, Lu G, Jia W, Wen J, Zhang D (2018) Complete binary representation for 3D palmprint recognition. IEEE Transactions on Instrumentation & Measurement 67(12):2761–2771. https://doi.org/10.1109/TIM.2018.2830858
Fei L, Lu G, Jia W, Teng S, Zhang D (2019) Feature extraction methods for palmprint recognition: a survey and evaluation. IEEE Transactions on Systems, Man, and Cybernetics: Systems 49(2):346–363. https://doi.org/10.1109/TSMC.2018.2795609
Fei L, Zhang B, Xu Y, Jia W, Wen J, Wu J (2019) Precision direction and compact surface type representation for 3D palmprint identification. Pattern Recogn 87:237–247. https://doi.org/10.1016/j.patcog.2018.10.018
Gao Z, Chung J, Abdelrazek M, Leung S, Hau WK, **an Z, Zhang H, Li S (2019) Privileged modality distillation for vessel border detection in intracoronary imaging. IEEE Trans Med Imaging. https://doi.org/10.1109/TMI.2019.2952939
Gao Z, Wang X, Sun S, Wu D, Bai J, Yin Y, Liu X, Zhang H, de Albuquerque VHC (2020) Learning physical properties in complex visual scenes: an intelligent machine for perceiving blood flow dynamics from static CT angiography imaging. Neural Netw 123:82–93. https://doi.org/10.1016/j.neunet.2019.11.017
Gui J, Jia W, Zhu L, Wang SL, Huang DS (2010) Locality preserving discriminant projectios for face and palmprint recognition. Neurocomputing 73(13–15):2696–2707. https://doi.org/10.1016/j.neucom.2010.04.017
Guo Z, Zhang D, Zhang L, Zuo W (2009) Palmprint verification using binary orientation co-occurrence vector. Pattern Recogn Lett 30(1):1219–1227. https://doi.org/10.1016/j.patrec.2009.05.010
Hetzel G, Leibe B, Levi P, et al., (2001) 3D object recognition from range images using local feature histograms. 2001 IEEE computer society conference on computer vision and pattern recognition (CVPR 2001), Kauai, HI, USA. IEEE Computer Society, Washington, DC, USA, p. 394–399. https://doi.org/10.1109/CVPR.2001.990988
Hu D, Feng G, Zhou Z (2007) Two-dimensional locality preserving projections (2DLPP) with its application to palmprint recognition. Pattern Recogn 40(1):339–342. https://doi.org/10.1016/j.patcog.2006.06.022
Huang DS, Jia W, Zhang D (2008) Palmprint verification based on principal lines. Pattern Recogn 41(4):1316–1328. https://doi.org/10.1016/j.patcog.2007.08.016
Jain AK, Nandakumar K, Ross A (2016) 50 years of biometric research: accomplishments, challenges, and opportunities. Pattern Recogn Lett 79(1):80–105. https://doi.org/10.1016/j.patrec.2015.12.013
Jia W, Hu R, Lei Y et al (2014) Histogram of oriented lines for palmprint recognition. IEEE Transactions on Systems, Man, and Cybernetics: Systems 44(3):385–395. https://doi.org/10.1109/TSMC.2013.2258010
Kong AWK, Zhang D (2004). Competitive coding scheme for palmprint verification. 17th international conference on pattern recognition, Cambridge, UK. IEEE computer society, Washington, DC, USA, p. 520–523. https://doi.org/10.1109/ICPR.2004.1334184
Kong A, Zhang D, Kamel M (2006) Palmprint identification using feature-level fusion. Pattern Recogn 39(3):478–487. https://doi.org/10.1016/j.patcog.2005.08.014
Li W, Zhang D, Zhang L, Lu G, Yan J (2011) 3D palmprint recognition with joint line and orientation features. IEEE Transactions on Systems, Man, and Cybernetics - Part C: Applications and Reviews 42(2):274–279. https://doi.org/10.1109/TSMCC.2010.2055849
Li W, Zhang D, Lu G, Luo N (2012) A novel 3-D palmprint acquisition system. IEEE Trans Syst Man Cybern Syst Hum 42(2):443–452. https://doi.org/10.1109/TSMCA.2011.2164066
Luo Y, Zhao L, Zhang B et al (2016) Local line directional pattern for palmprint recognition. Pattern Recogn 50:26–44. https://doi.org/10.1016/j.patcog.2015.08.025
Malina W (2001) Two-parameter fisher criterion. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 31(4):629–636. https://doi.org/10.1109/3477.938265
McKeon RT, Flynn PJ (2010) Three-dimensional facial imaging using a static light screen (SLS) and a dynamic subject. IEEE Trans Instrum Meas 59(4):774–783. https://doi.org/10.1109/TIM.2009.2037874
Sun F, Yao Y, Li X, Zhao L (2017) Type curve analysis of superheated steam flow in offshore horizontal wells. Int J Heat Mass Transf 113:850–860. https://doi.org/10.1016/j.ijheatmasstransfer.2017.05.105
Yang B, **ang X, Xu D, Wang X, Yang X (2017) 3D palmprint recognition using shape index representation and fragile bits. Multimedia Tools & Applications 76(14):15357–15375. https://doi.org/10.1007/s11042-016-3832-1
Zhang D, Kong WK, You J et al (2003) Online palmprint identification. IEEE Trans Pattern Anal Mach Intell 25(9):1041–1050. https://doi.org/10.1109/TPAMI.2003.1227981
Zhang D, Lu G, Li W et al., (2008) Three dimensional palmprint recognition using structured light imaging. In proceeding of IEEE international conference on biometrics: theory, applications and systems, p. 1–6. https://doi.org/10.1109/BTAS.2008.4699346
Zhang D, Zuo W, Yue F (2012) A comparative study of palmprint recognition algorithms. ACM Comput Surv 44(1):1–37. https://doi.org/10.1145/2071389.2071391
Zhang L, Shen Y, Li H, Lu J (2015) 3D palmprint identification using block-wise features and collaborative representation. IEEE Trans Pattern Anal Mach Intell 37(8):1730–1736. https://doi.org/10.1109/TPAMI.2014.2372764
Zhang L, Li L, Yang A, Shen Y, Yang M (2017) Towards contactless palmprint recognition: a novel device, a new benchmark, and a collaborative representation based identification approach. Pattern Recogn 69:199–212. https://doi.org/10.1016/j.patcog.2017.04.016
Zheng Q, Kumar A, Pan G (2016) A 3D feature descriptor recovered from a single 2D palmprint image. IEEE Trans Pattern Anal Mach Intell 38(6):1272–1279. https://doi.org/10.1109/TPAMI.2015.2509968
Acknowledgments
Our special thanks go to Professor Wanzeng Kong for his participating in the revised version.
This work was supported by the National Natural Science Foundation of China (61402143), National Natural Science Foundation of China (U1909202) and Key Laboratory of Brain Machine Collaborative Intelligence of Zhejiang Province (2020E10010).
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Bing Yang and Xueqin **ang prepared the manuscript, Duanqing Xu provided new ideas about 3D palmprint recognition, **liang Yao focused on algorithm implementation. All authors read and approved the manuscript.
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Yang, B., **ang, X., Yao, J. et al. 3D palmprint recognition using complete block wise descriptor. Multimed Tools Appl 79, 21987–22006 (2020). https://doi.org/10.1007/s11042-020-09000-7
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DOI: https://doi.org/10.1007/s11042-020-09000-7