吉林大学学报(工学版) ›› 2014, Vol. 44 ›› Issue (3): 840-846.doi: 10.13229/j.cnki.jdxbgxb201403042

• Orignal Article • Previous Articles     Next Articles

Novel feature set for fingerprint image quality assessment

YUAN Bao-xi1,2,3,SU Fei1,3,ZHAO Zhi-Cheng1,3,CAI An-ni1,3   

  1. 1.School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China;
    2.The Chinese People′s Liberation Army 95949 Troops, Cangzhou 061736 China;
    3.Beijing Key Laboratory of Network System and Network Culture, Beijing University of Posts and Telecommunications, Beijing 100876,China
  • Received:2012-12-05 Online:2014-03-01 Published:2014-03-01

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Abstract: Based on the mechanism of human visual attention, five features are chosen to simulate the process of subjective quality assessment of fingerprint images. Among these features, two of them are extracted by two proposed methods, a minutiae reliability assessment based on Polar Coordinates Centrum Sensitivity (PCCS) and a gray-scale image contrast based on Otsu algorithm. Experimental results show that this feature set on both Error Back Propagation (BP) Neural Network and Support Vector Machine (SVM) gives high classification accuracy.

Key words: information processing technology, fingerprint image quality assessment, mechanism of visual attention, minutiae reliability assessment, gray scale image contrast assessment

CLC Number: 

  • TN911.73
[1] Yang Zhi-guo, Li Ya-shuo, Yin Yi-long, et al. A template selection method based on quality for fingerprint matching[C]∥9th International Conference on Fuzzy Systems and Knowledge Discovery, Sichuan, 2012: 1382-1385.
[2] Lim E, Jiang X D, Yau W Y.Fingerprint quality and validity analysis[C]∥2002 International Conference on Image Processing, Rochester N Y,USA,2002: 469-472.
[3] Qi J, Abdurrachim D, Li D J, et al. A hybrid method for fingerprint image quality calculation[C]∥ Fourth IEEE Workshop on Automatic Identification Advanced Technologies, New York,USA,2005: 124-129.
[4] Liu Lian-hua,Tan Tai-zhe,Zhan Yin-wei. Based on SVM automatic measures of fingerprint image quality[C]∥Pacific-Asia Workshop on Computational Intelligence and Industrial Application, Wuhan, 2008:575-578.
[5] Yang Xiu-kun, Luo Yang. A classification method of fingerprint quality based on neural network[C]∥2011 International Conference on Multimedia Technology, Hangzhou, 2011:20-23.
[6] Zhan Xiao-si, Meng Xiang-xu, Yin Yi-long,et al. A method combined on multi-level factors for fingerprint image quality estimation[C]∥Fifth International Conference on Fuzzy Systems and Knowledge Discovery, Ji′nan,China,2008:31-36.
[7] Wu J, Xie S J, Seo D H, et al. A new approach for classification of fingerprint image quality[C]∥7th IEEE International Conference on Cognitive Informatics, Stanford, CA, 2008:375-383.
[8] Bos L. The effect of task on visual attention and its application to image quality assessment metrics[D]. Holland: Faculty Electrical Engineering,Mathematics and Computer Science,Technical University of Delft, 2010.
[9] Comsweet T N. Visual Perception[M]. New York: Academic Press, 1970.
[10] Maltoni D, Maio D, Jain A K, et al. Handbook of Fingerprint Recognition[M]. 2nd Ed. New York: Springer-Verlag, 2009.
[11] Otsu N. A threshold selection method from gray-level histograms[J]. IEEE Transactions on System Man and Cybernetic, 1979, 9(1):62-66.
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