Finger-Knuckle-Print Recognition: A Preliminary Review
LU Jingting1,2, JIA Wei2, YE Hui1, ZHAO Yang2, MIN Hai2, YU Ye2, HU Rongxiang3
1.Institute of Industry and Equipment Technology, Hefei University of Technology, Hefei 230009 2.School of Computer and Information, Hefei University of Technology, Hefei 23009 3.Institute of Nuclear Energy Safety Technology, Hefei Institutes of Physical Science, Chinese Academy of Sceinces, Hefei 230031
Abstract Compared with face, fingerprint, and iris based biometrics systems, finger-knuckle-print recognition based biometrics system has stable features, and it can be collected by low cost device and be easily combined with palmprint, finger vein, and hand shape recognition to form a robust system. In this paper, the definition, the data acquisition and the preprocessing of finger-knuckle-print recognition are firstly introduced. Then, the feature extraction and matching algorithms as well as multi-modal methods are reviewed. The effective finger-knuckle-print recognition algorithms are roughly divided into six categories: texture-based algorithm, structure-based algorithm, subspace learning-based algorithm, correlation filter-based algorithm, local descriptor-based algorithm and orientation coding-based algorithm. Finally, the development tendency of finger-knuckle-print recognition is forecasted.
Fund:Supported by National Natural Science Foundation of China(No.61673157,61402018,61305006,61305093,61370167,61175022)
Corresponding Authors:
(JIA Wei(Corresponding author), born in 1978, Ph.D., associate professor. His research interests include pattern recognition and biometrics.)
About author:: (LU Jingting, born in 1983, Ph.D., lecturer. Her research interests include pattern recognition and biometrics.) (JIA Wei(Corresponding author), born in 1978, Ph.D., associate professor. His research interests include pattern recognition and biometrics.) (YE Hui, born in 1993, master student. Her research interests include pattern recognition and biometrics.) (ZHAO Yang, born in 1987, Ph.D., associate professor. His research interests include pattern recognition and biometrics.) (MIN Hai, born in 1985, Ph.D., lecturer. His research interests include pattern recognition and biometrics.) (YU Ye, born in 1982, Ph.D., associate professor. Her research interests include pattern recognition and biometrics.) (HU Rongxiang, born in 1983, Ph.D., assistant professor. His research interests include pattern recognition and biome-trics.)
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