FVC2000: Fingerprint Verification Competition

Reliable and accurate fingerprint recognition is a challenging pattern recognition problem, requiring algorithms robust in many contexts. FVC2000 competition attempted to establish the first common benchmark, allowing companies and academic institutions to unambiguously compare performance and track improvements in their fingerprint recognition algorithms. Three databases were created using different state-of-the-art sensors and a fourth database was artificially generated; 11 algorithms were extensively tested on the four data sets. We believe that FVC2000 protocol, databases, and results will be useful to all practitioners in the field not only as a benchmark for improving methods, but also for enabling an unbiased evaluation of algorithms.

[1]  Henry C. Lee,et al.  Advances in Fingerprint Technology , 1991 .

[2]  Kevin W. Bowyer,et al.  Introduction to the Special Section on Empirical Evaluation of Computer Vision Algorithms , 1999, IEEE Trans. Pattern Anal. Mach. Intell..

[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]  Chitra Dorai,et al.  Detecting dynamic behavior in compressed fingerprint videos: distortion , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[5]  P. Jonathon Phillips,et al.  An Introduction to Evaluating Biometric Systems , 2000, Computer.

[6]  Hong Yan,et al.  Comparison of face verification results on the XM2VTFS database , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[7]  Xudong Jiang,et al.  Minutiae extraction by adaptive tracing the gray level ridge of the fingerprint image , 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

[8]  Dario Maio,et al.  Combining Fingerprint Classifiers , 2000, Multiple Classifier Systems.

[9]  Dario Maio,et al.  Direct Gray-Scale Minutiae Detection In Fingerprints , 1997, IEEE Trans. Pattern Anal. Mach. Intell..

[10]  J. L. Wayman,et al.  Best practices in testing and reporting performance of biometric devices. , 2002 .

[11]  Dario Maio,et al.  Modelling Plastic Distortion in Fingerprint Images , 2001, ICAPR.

[12]  Dario Maio,et al.  Synthetic fingerprint-image generation , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[13]  Andrew W. Fitzgibbon,et al.  An Experimental Comparison of Range Image Segmentation Algorithms , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[14]  Trygve Randen,et al.  Filtering for Texture Classification: A Comparative Study , 1999, IEEE Trans. Pattern Anal. Mach. Intell..

[15]  Hyeonjoon Moon,et al.  The FERET Evaluation Methodology for Face-Recognition Algorithms , 2000, IEEE Trans. Pattern Anal. Mach. Intell..