Detection of Virtual Core Point of A Fingerprint: A New Approach

236  Abstract—In a fingerprint the profile of ridges are flowed by ridge orientation curves. The slope of each point of a ridge orientation curve varies with the radius of curvature of the line. The change in gradient will attain its maximum value when the curve changes its slope from positive to negative or vice versa which occurs on immediate left and right of maxima or minima point. Every ridge on a fingerprint will provide such point of maximum gradient and the mean value of those points is considered as the virtual core point. This paper presents a new model to determine the virtual core point based on changed in gradient of maxima and minima points, so that this core point is considered to be the reference point to select the region of interest (ROI) of a fingerprint for further processing. The results of the paper show that, the proposed method can provide the virtual core point from different types of fingerprint very efficiently and consequently simplifies the fingerprint recognition system.

[1]  Yangsheng Wang,et al.  Singular Point Detection in Fingerprint Image , 2002 .

[2]  Madhu Shandilya,et al.  Fingerprint’s Core Point Detection using Gradient Field Mask , 2010 .

[3]  Anil K. Jain,et al.  On-line fingerprint verification , 1996, Proceedings of 13th International Conference on Pattern Recognition.

[4]  M. Y. Javed,et al.  Fingerprint Matching using Gabor Filters , 2004 .

[5]  David Zhang,et al.  Adaptive fingerprint pore modeling and extraction , 2010, Pattern Recognit..

[6]  Sharath Pankanti,et al.  Filterbank-based fingerprint matching , 2000, IEEE Trans. Image Process..

[7]  M. S. Khalil,et al.  Singular points detection using fingerprint orientation field reliability , 2010 .

[8]  Anil K. Jain,et al.  A Multichannel Approach to Fingerprint Classification , 1999, IEEE Trans. Pattern Anal. Mach. Intell..

[9]  Monowar H. Bhuyan,et al.  An Effective Method for Fingerprint Classification , 2010, Int. Arab. J. e Technol..

[10]  Somsak Choomchuay,et al.  An algorithm for fingerprint core point detection , 2007, 2007 9th International Symposium on Signal Processing and Its Applications.

[11]  Boo Hee Nam,et al.  Fingerprint recognition using wavelet transform and probabilistic neural network , 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

[12]  D. Batra,et al.  Gabor filter based fingerprint classification using support vector machines , 2004, Proceedings of the IEEE INDICON 2004. First India Annual Conference, 2004..

[13]  Edward Richard Henry,et al.  Classification and uses of finger prints , 1928 .

[14]  Ju Cheng Yang,et al.  A fingerprint verification algorithm using tessellated invariant moment features , 2008, Neurocomputing.

[15]  Ching-Tang Hsieh,et al.  An Effective Method for Fingerprint Classification , 2009 .

[16]  Stephanie Schuckers,et al.  New approach for liveness detection in fingerprint scanners based on valley noise analysis , 2008, J. Electronic Imaging.