Fingerprint matching using M Band Wavelet transform

This paper illustrates the use of M - band wavelet transform for fingerprint matching. M - band Wavelet transform is applied on small portion of fingerprint image around the core point. Standard database of Bologna University is used to evaluate the performance of M - band wavelet transform. Results of M - band wavelet transform compared with standard two-band wavelet transform. M - band wavelet transform gives better genuine acceptance rate (GAR) at low false acceptance rate (FAR) over the standard two-band wavelet transform.

[1]  I. Selesnick.  The Double-Density Dual-Tree Discrete Wavelet Transform , 2001 .

[2]  Peter N. Heller,et al.  Theory of regular M-band wavelet bases , 1993, IEEE Trans. Signal Process..

[3]  Xudong Jiang,et al.  Fingerprint minutiae matching based on the local and global structures , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[4]  Stéphane Mallat,et al.  A Theory for Multiresolution Signal Decomposition: The Wavelet Representation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

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

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

[7]  Pauli Kuosmanen,et al.  Fingerprint recognition using wavelet features , 2001, ISCAS 2001. The 2001 IEEE International Symposium on Circuits and Systems (Cat. No.01CH37196).

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

[9]  Manesh Kokare,et al.  Performance Evaluation of Distance Metrics: Application to Fingerprint Recognition , 2011, Int. J. Pattern Recognit. Artif. Intell..

[10]  Anil K. Jain,et al.  Fingerprint Image Enhancement: Algorithm and Performance Evaluation , 1998, IEEE Trans. Pattern Anal. Mach. Intell..

[11]  Mausumi Acharyya,et al.  An adaptive approach to unsupervised texture segmentation using M-Band wavelet transform , 2001, Signal Process..