Fingerprint classification based on Adaboost learning from singularity features

Pattern Recognition

Volumn 43, Issue 3, 2010, Pages 1062-1070

  Liu, Manhua ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Adaboost learning; Biometrics; Decision tree classifier; Fingerprint classification; Fingerprint singularities

Indexed keywords

ADABOOST LEARNING; CLASSIFICATION RESULTS; COMPLEX FILTERS; DECISION TREE CLASSIFIERS; FEATURE VECTORS; FINGERPRINT CLASSIFICATION; FINGERPRINT DATABASE; INDEXING SCHEME; MULTIPLE SCALE; RELATIVE POSITIONS; SINGULARITY FEATURE;

BIOMETRICS; CLASSIFIERS; DECISION TREES; EDUCATION; FACE RECOGNITION; LEARNING SYSTEMS;

ADAPTIVE BOOSTING;

EID: 70449724649     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2009.08.011     Document Type: Article

References (36)

1. Maltoni D., Maio D., Jain A.K., and Prabhakar A. Handbook of Fingerprint Recognition (2003), Springer, New York
2. Ratha N.K., Chen S., Karu K., and Jain A. A real-time matching system for large fingerprint databases. IEEE Transactions on Pattern Analysis and Machine Intelligence 18 8 (1996) 799-813
3. Liu M., Jiang X.D., and Kot A.C. Efficient fingerprint search based on database clustering. Pattern Recognition 40 6 (2007) 1793-1803
4. Henry E.R. Classification and Uses of Fingerprints (1900), Routledge, London
5. Karu K., and Jain A.K. Fingerprint classification. Pattern Recognition 29 3 (1996) 389-404
6. Jain A.K., Prabhakar S., and Hong L. A multichannel approach to fingerprint classification. IEEE Transactions on Pattern Analysis and Machine Intelligence 21 4 (1999) 348-359
7. G.T. Candela, P.J. Grother, C.I. Watson, R.A. Wilkinson, C.L. Wilson, PCASYS-a pattern-level classification automation system for fingerprints, Technique Report: NIST TR 5647, August 1995.
8. R. Cappelli, D. Maio, D. Maltoni, Fingeprint classification based on multi-space KL, in: Proceedings of Workshop on Automatic Identification Advanced Technologies, 1999, pp. 117-120.
9. Park C.H., and Park H. Fingerprint classification using fast Fourier transform and nonlinear discriminant analysis. Pattern Recognition 38 4 (2005) 495-503
10. Y. Yao, P. Frasconi, M. Pontil, Fingerprint classification with combination of support vector machine, in: Proceedings of 3rd International Conference on Audio- and Video-based Biometric Person Authentication, 2001, pp. 253-258.
11. Senior A. A combination fingerprint classification. IEEE Transactions on Pattern Analysis and Machine Intelligence 23 10 (2001) 1165-1174
12. G.L. Marcialis, F. Roli, P. Frasconi, Fingerprint classification by combination of flat and structural approaches, in: Proceedings of International Conference on Audio- and Video-based Biometric Person Authentication (3rd), 2001, pp. 241-246.
13. Tan X., Bhanu B., and Lin Y. Fingerprint classification based on learned features. IEEE Transactions on System, Man and Cybernetics, Part C 35 3 (2005) 287-300 (special issue on Biometrics)
14. Zhang Q., and Yan H. Fingerprint classification based on extraction and analysis of singularities and pseudo ridges. Pattern Recognition 37 11 (2004) 2233-2243
15. Li J., Yau W.-Y., and Wang H. Combining singular points and orientation image information for fingerprint classification. Pattern Recognition 41 1 (2008) 353-366
16. A.K. Jain, S. Minut, Hierarchical kernel fitting for fingerprint classification and alignment, in: Proceedings of International Conference on Pattern Recognition (16th), vol. 2, 2002, pp. 469-473.
17. Chang J.-H., and Fan K.-C. A new model for fingerprint classification by ridge distribution sequences. Pattern Recognition 35 (2002) 1209-1223
18. D. Maio, D. Maltoni, A structural approach to fingerprint classification, in: Proceedings of 13th International Conference on Pattern recognition, vol. 3, Vienna, 1996, pp. 578-585.
19. Cappelli R., Lumini A., Maio D., and Maltoni D. Fingerprint classification by directional image partitioning. IEEE Transactions on Pattern Analysis and Machine Intelligence 21 5 (1999) 402-421
20. Pattichis M.S., Panayi G., Bovik A.C., and Hsu S.-P. Fingerprint classification using an AM-FM model. IEEE Transactions on Image Processing 10 6 (2001) 951-954
21. Hallici U., and Ongun G. Fingerprint classification through self-organizing feature maps modified to treat uncertainties. Proceedings of the IEEE 84 10 (1996) 1497-1512
22. Nagaty K.A. Fingerprints classification using artificial neural networks: a combined structural and statistical approach. Neural Networks 14 (2001) 1293-1305
23. Yao Y., Marcialis G.L., 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 36 2 (2003) 397-406
24. Hong J.-H., Min J.-K., Cho U.-K., and Cho S.-B. Fingerprint classification using one-vs-all support vector machines dynamically ordered with naïve Bayes classifiers. Pattern Recognition 41 2 (2008) 662-671
25. Hong L., Wan Y., and Jain A.K. Fingerprint image enhancement: algorithm and performance evaluation. IEEE Transactions on Pattern Analysis and Machine Intelligence 20 8 (1998) 777-789
26. Bazen A.M., and Gerez S.H. Systematic methods for the computation of the directional fields and singular points of fingerprints. IEEE Transactions on Pattern Analysis and Machine Intelligence 24 7 (2002) 905-919
27. Jiang X.D. On orientation and anisotropy estimation for online fingerprint authentication. IEEE Transactions on Signal Processing 53 10 (2005) 4038-4049
28. Liu M., Jiang X.D., and Kot A.C. Fingerprint reference point detection. EURASIP Journal on Applied Signal Processing 2005 4 (2005) 498-509
29. A.M. Bazen, S.H. Gerez, Segmentation of fingerprint images, in: Proceedings of ProRISC2001, 12th Annual Workshop on Circuits, Systems and Signal Processing, 2001, pp. 276-280.
30. Bigun J. Pattern recognition in images by symmetries and coordinate transformations. Computer Vision and Image Understanding 68 3 (1997) 290-307
31. Nilsson K., and Bigun J. Localization of corresponding points in fingerprints by complex filtering. Pattern Recognition Letters 24 (2003) 2135-2144
32. M. Liu, X.D. Jiang, A.C. Kot, Fingerprint retrieval by complex filter responses, in: Proceedings of the 18th International Conference on Pattern Recognition, Hong Kong, China, 2006, pp. 1042-1045.
33. B. Roe, H. Yang, J. Zhu, Boosted decision trees, a powerful event classifier, in: Proceedings of PHYSTAT05 (Statistical Problems in Particle Physics, Astrophysics and Cosmology), Oxford, UK, 2005.
34. Collins M., Schapire R., and Singer Y. Logistic regression, Adaboost and Bregman distances. Machine Learning 48 1-3 (2002) 253-285
35. R. Cappelli, D. Maio, D. Maltoni, L. Nanni, A two-stage fingerprint classification system, in: Proceedings of the 2003 ACM SIGMM Workshop on Biometrics Methods and Applications, 2003, pp. 95-99.
36. L. Sha, X. Tang, Combining exclusive and continuous fingerprint classification, in: Proceedings of 2004 International Conference on Image Processing, vol. 2, 2004, pp. 1245-1248.