Dr. Wenxiong Kang is an Associate Professor in the Laboratory of Biometrics and Image Processing, School of Automation Science and Engineering, South China University of Technology，he is a member of IEEE, ACM, CCF and CAAI. He received his master's and Ph.D. degree from Northwestern Polytechnical University (NWPU) in 2003 and from South China University of Technology (SCUT) in 2009. During September 2009 to June 2010, he had been a visiting scholar in the Department of Information Technology and Electrical Engineering of ETH Zurich (in Switzerland). His research interests include Computer Vision, Pattern Recognition, Image Processing and Biometrics.
Scientific research：
Dr. Wenxiong Kang has published more than 40 papers in the international journals and conferences, including reputable international journals such as《IEEE Transactions on Image Processing》,《IEEE Transactions on Information Forensics & Security》,《IEEE Transactions on Multimedia》,《IEEE Transactions on Systems, Man, and Cybernetics: Systems》,《Computer Vision and Image Understanding》,《Pattern Recognition Letters》,《Journal of Visual Communication and Image Representation》,《Neurocomputing》,《PLOS ONE》, and important domestic and international conferences like CCBR,ISBA and ICCV. He is an editor of one book, an inventor of seven inventive patents and the holder of two Software copyright.
Project:
Object detection and real-time tracking，Vein pattern recognition，On-line signature recognition，Multi-biometrics，Biometrics anti-spoofing；
Intelligent vision sensor development，Embedded software platform for machine vision applications，Vision-based embedded mold protector.
Selected Journal Papers
[12] G.Wu, W. Kang*, Robust Fingertip Detection in a Complex Environment, IEEE Transactions on Multimedia（IF：2.303）, 2016.18(6): 978-987.
[11] X. Zhuang, W. Kang*, Qiuxia Wu, Real-time Vehicle Detection with Foreground-based Cascade Classifier, IET Image Processing（IF：0.753）, 2016.10 (4):289-296.
[10] W. Kang, X.Chen, Fast Representation Based on a Double Orientation Histogram for LocalImage De_scriptors, IEEE Transactionson Image Processing (IF：3.111)，2015 ;24(10):2915-2927.
[9] W. Kang, and Q.Wu, Contactless Palm Vein Recognition Using a Mutual Foreground-Based LocalBinary Pattern. IEEE Transactions onInformation Forensics and Security, 2014. 9(11): p. 1974-85. (IF：2.065)
[8] W. Kang, X.Chen, and Q. Wu, The biometric recognition on contactless multi-spectrumfinger images. Infrared Physics& Technology, 2015. 68(0): p. 19-27. (IF：1.460)
[7] W. Kang, and Q.Wu, Pose-Invariant Hand Shape Recognition Based on Finger Geometry. IEEE Transactions on Systems, Man, andCybernetics: Systems, 2014. 44(11): p. 1510-21. (IF：2.123).
[6] W. Kang, Y.Liu, Q. Wu, and X. Yue, Contact-Free Palm-Vein Recognition Based on LocalInvariant Features. PLoS ONE,2014. 9(5): p. e97548. ( IF：4.411)
[5] X. Yan, W. Kang*, F. Deng, and Q. Wu, Palm vein recognition basedon multi-sampling and feature-level fusion. Neurocomputing, 2015. 151, Part 2(0): p. 798-807. (IF：2.102)
[4] Z. Huang, W. Kang*, Q. Wu, and X. Chen, A new de_scriptor resistant toaffine transformation and monotonic intensity change. Computer Vision and Image Understanding, 2014. 120(0): p.117-125.(IF：2.404)
[3] W. Kang, Veinpattern extraction based on vectorgrams of maximal intra-neighbor difference.Pattern Recognition Letters, 2012. 33(14):p. 1916-1923.(SCI 3区，IF：1.235)
[2] Q. Wu, Z. Wang, F. Deng, Y. Xia, W. Kang, and D. D. Feng, Discriminative two-level featureselection for realistic human action recognition. Journal of Visual Communication and Image Representation, 2013. 24(7):p. 1064-1074. (IF：1.122)
[1] W. Kang, H. Li, and F. Deng, "Direct gray-scale extraction of topographic features for vein recognition," Science China Information Sciences, vol. 53, pp. 2062-2074, 2010.
Selected Conference Papers
[5] D. Li, X. Yue, Q. Wu, and W. Kang, "CPGF: Core Point Detection from Global Feature for Fingerprint," in Biometric Recognition, ed: Springer International Publishing, 2015, pp. 224–232.
[4] M. S. Shakeel and W. Kang, "Efficient blind image deblurring method for palm print images," presented at the Identity, Security and Behavior Analysis (ISBA), 2015 IEEE International Conference on, 2015, pp. 1-7.
[3] S. Zhong, X. Chen, D. Li, W. Kang, and F. Deng, "An Intelligent Access Control System Based on Multi-biometrics of Finger," in Biometric Recognition, ed: Springer International Publishing, 2014, pp. 465-472.
[2] M. Pan and W. Kang, "Palm vein recognition based on three local invariant feature extraction algorithms," in Biometric Recognition, ed: Springer International Publishing, 2011, pp. 116-124.
[1] Q. Wu, S. Lu, Z. Wang, F. Deng, W. Kang, and D. D. Feng, "Structure context of local features in realistic human action recognition," in Computer Vision Workshops (ICCV Workshops), 2011 IEEE International Conference on, 2011, pp. 1496-1501.
Contact Information:
School of Automation Science & Engineering
South China University of Technology (SCUT)
Guangzhou, 510640, China
E-mail: auwxkang@scut.edu.cn
Office: Building 03 – Room 523
