Data Management for Fingerprint Recognition Algorithm Based on Characteristic Points' Group

Michał Szczepanik; Ireneusz Jóźwiak

doi:10.2478/fcds-2013-0004

.blurhash-client-img { display: none !important; }

Data Management for Fingerprint Recognition Algorithm Based on Characteristic Points' Group

Foundations of Computing and Decision Sciences

Volume 38 (2013): Issue 2 (June 2013)

By: Michał Szczepanik and Ireneusz Jóźwiak

Open Access

|Jun 2013

Abstract

In this paper authors present data management solutions for new fingerprint recognition based on minutes groups. They compared existing fingerprint recognition data store methods and their own solutions. Authors proposed a new algorithm based on distribution minutiae' groups using selective attention algorithms.

References

[1] Bazen A.M., Gerez S.H. (2003) Fingerprint matching by thinplate spline modelling of elastic deformations, Pattern Recognition. 10.1016/S0031-3203(03)00036-0
Search in Google Scholar
[2] Bebis G., Deaconu T., Georgiopoulos M. (1999) Fingerprint Identification Using Delaunay Triangulation, IEEE ICIIS: 452-459
Search in Google Scholar
[3] Cappelli R., Lumini A., D. Maio and D. Maltoni (1999) Fingerprint Classification by Directional Image Partitioning, IEEE Transactions on Pattern Analysis MachineIntelligence, vol.21, no.5:402-421
Search in Google Scholar
[4] Chikkerur S., Govindaraju V., Cartwright E. N.(2006) K-plet and coupled bfs: A graph based fingerprint representation and matching algorithm. LNCS: 309 - 315
Search in Google Scholar
[5] Grzeszyk C. (1992) Forensic fingerprint examination marks. (in Polish), Wydawnictwo Centrum Szkolenia Policji, Legionowo
Search in Google Scholar
[6] He Y., Ou Z.(2005) Fingerprint matching algorithm based on local minutiae adjacency graph, Journal of Harbin Institute of Technology 10/05, pp. 95-103
Search in Google Scholar
[7] Huk M., Szczepanik M. (2011) Multiple classifier error probability for multi-class problems. Maintenance and Reliability 3: 12-17
Search in Google Scholar
[8] Hicklin A., Watson C. Ulery B. (2005) How many people have fingerprints that are hard to match, NIST Interagency Report 7271.
Search in Google Scholar
[9] Hong L., Wan Y., Jain A. K. (1998) Fingerprint image enhancement: Algorithm and performance evaluation, IEEE Transactions on Pattern Analysis and MachineIntelligence:777-78910.1109/34.709565
Search in Google Scholar
[10] Indovina M., Uludag U., Snelick R., Mink A., Jain A. (2003) Multimodal Biometric Authentication Methods: A COTS Approach, Proc. MMUA.
Search in Google Scholar
[11] Jain A. K., Ross A., Nandakumar K. (2011). Introducing to biometrics, Spinger.10.1007/978-0-387-77326-1
Search in Google Scholar
[12] Maltoni D., Maio D., Jain A.K., Prabhakar S. (2009) Handbook of FingerprintRecognition, 2nd Edition, Springer10.1007/978-1-84882-254-2
Search in Google Scholar
[13] Pankanti S, Prabhakar S., Jain A.K. (2001) On the individuality of fingerprints, Proceedings of Computer Vision and Pattern Recognition (CVPR).
Search in Google Scholar
[14] Parziale G., Niel A. (2004) A fingerprint matching using minutiae triangulation. Proc.of ICBA.10.1007/978-3-540-25948-0_34
Search in Google Scholar
[15] Ratha N. K., Govindaraju V. (2007) Advances in Biometrics: Sensors, Algorithms andSystems, Springer.10.1007/978-1-84628-921-7
Search in Google Scholar
[16] Ross A., Dass S.C., Jain A.K. (2005) A deformable model for fingerprint matching, Pattern Recognition 38(1): 95-10310.1016/j.patcog.2003.12.021
Search in Google Scholar
[17] Ross, A., Nandakumar K., Jain, A.K. (2011) Handbook of Multibiometrics (International Series on Biometrics), Springer.
Search in Google Scholar
[18] Shimooka T., Shimizu K. 2004. Artificial Immune System for Personal Identificationwith Finger Vein Pattern, Springer.10.1007/978-3-540-30133-2_67
Search in Google Scholar
[19] Szczepanik M., Szewczyk R. (2008) Fingerprint identification algorithm (in Polish). KNS, vol. 1: 131 -136
Search in Google Scholar
[20] Wayman J.L., Jain A.K., Maltoni D., Maio D. (2005) Biometric Systems. Technology, Design and Performance Evaluation, 1st Edition, Springer10.1007/b138151
Search in Google Scholar