Fingerprint orientation alignment and similarity measurement

References

• Lee, H. C. and Gaensslen, R. E. Advances in fingerprint technology, 1991 (Elsevier, New York, US).
   Google Scholar
• Ratha, N. K., Connell, J. H., and Bolle, R. M. Image mosaicing for rolled fingerprint construction. Proc. of Intl. Conf. on Pattern Recognition, Brisbane, Australia, 1998, pp. 1651–1653.
   Google Scholar
• Yang, J., Liu L., Jiang, T., and Fan, Y. A modified Gabor filter design method for fingerprint image enhancement. Pattern Recognition Letter, 2003, 24, 1805–1817.
   Web of Science ®Google Scholar
• Greenberg, S., Aladjem, M., and Kogan, D. Fingerprint image enhancement using filtering techniques. Real-Time Imaging, 2002, 8, 227–236.
   Google Scholar
• Karu, K. and Jain, A. K. Fingerprint classification. Pattern Recognition, 1996, 29, 389–404.
   Web of Science ®Google Scholar
• Cappelli, R. Lumini, A. Maio, D., and Maltoni, D. Fingerprint classification by directional image partitioning. IEEE Trans. on Pattern Anal. Mach. Intell., 1999, 21, 402–421.
   Web of Science ®Google Scholar
• Yao, Y., Marcialis, G., Pontil, M., Frasconi, P., and Roli, F. Combining flat and structured representations for fingerprint classification with recursive neural networks and support vector machines. Pattern Recognition, 2003, 36, 397–406.
   Web of Science ®Google Scholar
• Jain, A. K., Hong L., and Bolle, R. On-line fingerprint verification. IEEE Trans. on Pattern Anal. Mach. Intell., 1997, 19, 302–314.
   Web of Science ®Google Scholar
• Maltoni, D., Maio D., Jain, A. K., and Prabhakar, S. Handbook of fingerprint recognition, 2003 (Springer, New York, US).
   Google Scholar
• Srinivasan, V. S. and Murthy, N. N. Detection of singular points in fingerprint images. Pattern Recognition, 1992, 25, 139–153.
   Web of Science ®Google Scholar
• The science of fingerprints: classification and uses, 1984 (Federal Bureau of Investigation, U.S. Government Printing Office. Washington, D.C., US).
   Google Scholar
• Jain, A. K., Prabhakar, S. and Pankanti, S. On the similarity of identical twin fingerprints. Pattern Recognition, 2002, 35, 2653–2663.
   Web of Science ®Google Scholar
• Henry, E. R. Classification and use of fingerprints. 1900 (Routledge, London).
   Google Scholar
• Watson, C. I. NIST special database 9: mated fingerprint card pairs. Advanced Systems Division, Image Recognition Group, National Institute for Standards and Technology, US, 1993.
   Google Scholar
• Watson, C. I. NIST special database 14: fingerprint card pairs 2. Advanced Systems Division, Image Recognition Group, National Institute for Standards and Technology, US, 1993.
   Google Scholar
• Watson, C. I. NIST special database 4: 8-bit gray scale images of fingerprint image groups. Advanced Systems Division, Image Recognition Group, National Institute for Standards and Technology, US, 1992.
   Google Scholar
• Jain, A. K., Prabhakar, S., and Hong, L. A multichannel approach to fingerprint classification. IEEE Trans. on Pattern Anal. Mach. Intell., 1999, 21, 348–359.
   Web of Science ®Google Scholar
• Senior, A.W. A combination fingerprint classifier. IEEE Trans. on Pattern Anal. Mach. Intell., 2001, 23, 1165–1174.
   Web of Science ®Google Scholar
• Jain, A. K. and Minut, S. Hierarchical kernel fitting for fingerprint classification and alignment. Proc. Int. Conf. on Patt. Recog. ICPR’02, Quebec City, Canada, August 2002, Vol. 2, 469–473.
   Google Scholar
• Marcialis, G. Roli, F., and Frasconi, P. Fingerprint classification by combination of flat and structural approaches. Proc. of AVBPA 2001, Halmstad, Sweden, 2001, 241–246.
   Google Scholar
• Hong, L., Wan, Y., and Jain, A. K. Fingerprint image enhancement: algorithm and performance evaluation. IEEE Trans. on Pattern Anal. Mach. Intell., 1998, 20, 777–789.
   Web of Science ®Google Scholar
• Wang, S. and Wang, Y. Fingerprint enhancement in the singular point area. IEEE Signal Processing Letters, 2004, 11, 16–19.
   Web of Science ®Google Scholar
• Hung, D. C. and Huang, C. Y. A Model for detecting singular points of a fingerprint. Proc. of Florida AI Research Symposium, Key West, Florida, US, 1996, 444–448.
   Google Scholar