Unzip all files into Matlab current directory and type "fprec" to start fingerprint image processing. Filterbank-Based Fingerprint Matching (A.K.Jain, S.Prabhakar, L.Hong and S.Pankanti, 2000) Abstract With identity fraud in our society reaching unprecedented proportions and with an increasing emphasis on the emerging automatic personal identification applications, biometrics-based verification, especially fingerprint-based identification, is receiving a lot of attention. There are two major shortcomings of the traditional approaches to fingerprint representation. For a considerable fraction of population, the representations based on explicit detection of complete ridge structures in the fingerprint are difficult to extract automatically. The widely used minutiae-based representation does not utilize a significant component of the rich discriminatory information available in the fingerprints. Local ridge structures cannot be completely characterized by minutiae. Further, minutiae-based matching has difficulty in quickly matching two fingerprint images containing different number of unregistered minutiae points. The proposed filter-based algorithm uses a bank of Gabor filters to capture both local and global details in a fingerprint as a compact fixed length FingerCode. The fingerprint matching is based on the Euclidean distance between the two corresponding FingerCodes and hence is extremely fast. We are able to achieve a verification accuracy which is only marginally inferior to the best results of minutiae-based algorithms published in the open literature. Our system performs better than a state-of-the-art minutiae-based system when the performance requirement of the application system does not demand a very low false acceptance rate. Finally, we show that the matching performance can be improved by combining the decisions of the matchers based on complementary (minutiae-based and filter-based) fingerprint information. Index Terms: Biometrics, FingerCode, fingerprints, flow pattern, Gabor filters, matching, texture, verification. This code was developed using: MATLAB Version 7.0.1 and Image Processing Toolbox Version 5.0.1 (R14SP1) Operating System: Microsoft Windows 2000 Version 5.0 (Build 2195: Service Pack 4) Java VM Version: Java 1.4.2_04 with Sun Microsystems Inc. Java HotSpot(TM) Client VM References: A. K. Jain, S. Prabhakar, and S. Pankanti, "A Filterbank-based Representation for Classification and Matching of Fingerprints", International Joint Conference on Neural Networks (IJCNN), pp. 3284-3285, Washington DC, July 10-16, 1999. http://www.cse.msu.edu/~prabhaka/publications.html "Fingerprint Classification and Matching Using a Filterbank", Salil Prabhakar A DISSERTATION Submitted to Michigan State University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY, Computer Science & Engineering, 2001 http://biometrics.cse.msu.edu/SalilThesis.pdf ************************************************************************ Luigi Rosa Via Centrale 35 67042 Civita di Bagno L'Aquila --- ITALY mobile +39 340 3463208 email luigi.rosa@tiscali.it website http://utenti.lycos.it/matlab *************************************************************************




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