Fingerprint matching using ANFIS

Proceedings of the IEEE International Conference on Systems, Man and Cybernetics

Volumn 1, Issue , 2003, Pages 217-222

  Hui, Hong ^a   Li, Jian Hua ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

ANFIS; Fingerprint; Fuzzy; Gabor filter; Image processing; Matching

Indexed keywords

ADAPTIVE SYSTEMS; FEATURE EXTRACTION; FUZZY SETS; IMAGE ANALYSIS; INFERENCE ENGINES; LEARNING ALGORITHMS; NEURAL NETWORKS; PATTERN MATCHING;

ADAPTIVE NEURO FUZZY INFERENCE SYSTEMS; FINGERPRINT MATCHING; GABOR FILTER;

PATTERN RECOGNITION SYSTEMS;

EID: 0242657947     PISSN: 08843627     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. A.K. Jain, S. Prabhakar, L. Hong and S. Pankanti, May 2000, Filterbank-based Fingerprint Matching, IEEE Transactions on Image Processing, Vol. 9, No.5: 846-859.
2. A.K. Jain, S. Prabhakar, L. Hong and S. Pankanti, June 23-25, 1999, FingerCode: A Filterbank for Fingerprint Representation and Matching, Proc. IEEE Conference on CVPR, Colorado, Vol. 2: 187-193.
3. A.K. Jain, L. Hong, S. Pankanti and R. Bolle, An Identity Authentication System Using Fingerprints. Proc. IEEE, Vol. 85, No. 9, pp. 1365-1388, September 1997.
4. D.Maio, D.Maltoni, R.Cappelli, J.L. Wayman, A.K. Jain, March 2002, FVC2000: Fingerprint Verification Competition, IEEE Trans. PAMI, 24(3): 402-412, also available on the web site:http://bias.csr.unibo.it/fvc2000/
5. F.M. Frattale Mascioli, G. Martinelli, 1998, A constructive approach to neuro-fuzzy networks. Signal Processing, 64 (1998): 347-358
6. Hui Hong, Zhou Hong, Wang LeYu, Optimal designed Gabor filters for fingerprint recognition, Proceedings of SPIE Annual Meeting 2002, Seattle, Washington, USA, July 7-11, 2002
7. Hui Hong, Zhou Hong, Wang LeYu, Structure-based fingerprint matching using optimal Gabor filters. Proceedings of SPIE, Vol. 4925-05, Photonics Asia 2002, Shanghai, China, October 14-18, 2002: 22-28
8. J.-S. R. Jang, May 1993, ANFIS: Adaptive-Network-based Fuzzy Inference Systems, IEEE Transactions on Systems, Man, and Cybernetics, 23(3): 665-685.
9. J.-S. R. Jang, C.-T. Sun, E. Mizutani, 1997, Neuro-Fuzzy and Soft Computing, New Jersey: Prentice Hall, USA, p. 239-240.
10. J.-S. R., Jang, Input selection for ANFIS learning, Fuzzy Systems, Proceedings of the Fifth IEEE International Conference on, 1996, Vol.2: 1493-1499
11. Kothari, R., 1999, Robust regression based training of ANFIS, Fuzzy Information Processing Society. NAFIPS. 18th International Conference of the North American, p. 605-609
12. Omar AI-Jarrah, Alaa Halawani, 2001, Recognition of gestures in Arabic sign language using neuro-fuzzy systems, Artificial Intelligence, 133, (2001): 117-138
13. Panella, M.; Rizzi, A.; Mascioli, F.M.F.; Martinelli, G., 2001, ANFIS synthesis by hyperplane clustering, IFSA World Congress and 20th NAFIPS International Conference, vol.1: 340-345
14. R. Cappelli, SFinGe:Synthetic Fingerprint Generator, proceedings 12th CardTech/SecurTech (CTST2002), April 2002. Invited. SfinGe is available on the web site: http://bias.csr.unibo/it/research/biolab/io_tree.html
15. S. L. Chiu, 1994, Fuzzy model identification based on cluster estimation, Journal of Intelligent and Fuzzy Systems, 2 (3): 267-278.
16. Yang Hai-Jun, Liang De-Qun, Tian Yuan, Singular point detection of fingerprint based on derectional field characteristics, ACTA Automatica Sinica, Vol. 27, No.2, pp.272-275, Mar., 2001