Palmprint recognition based on translation invariant Zernike moments and modular neural network

Lecture Notes in Computer Science

Volumn 3497, Issue II, 2005, Pages 177-182

  Li, Yanlai ^a   Wang, Kuanquan ^a   Zhang, David ^b  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTATIONAL METHODS; DATABASE SYSTEMS; FEATURE EXTRACTION; PROBLEM SOLVING; SET THEORY;

MODULAR NEURAL NETWORKS (MNN); MULTI-CLASS TASKS; PALMPRINT RECOGNITION; STRAIGHT-LINE SEGMENTS (SLS);

MULTILAYER NEURAL NETWORKS;

EID: 24944557193     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11427445_28     Document Type: Conference Paper

References (12)

1. Zhang, D.: Automated Biometrics-Technologies and Systems. Kluwer Academic Publishers (2000)
2. Zhang, D., Wei Shu: Two Novel Characteristics in Palmprint Verification: Datum Point Invariance and Line Feature Matching. Pattern Recognition, 32 (1999) 691-702
3. Duta, N., Jain, A., Mardia, K.V.: Matching of Palmprint. Pattern Recognition Letters, 23 (2001) 477-485
4. Zhang, D., Kong, W., You, J., Wong, M.: Online Palmprint Identification. IEEE Transactions on Pattern Analysis and Machine Intelligence, 25 (2003) 1041-1050
5. Fukumi, M.; Omatu, S.; Nishikawa, Y.: Rotation-invariant Neural Pattern Recognition System Estimating a Rotation Angle. IEEE Trans. Neural Networks, 8 (1997) 568-581
6. Cheeway Chong, Raveendran, P., Mukundan, R.: Translation Invariants of Zernike Moments, Pattern Recognition, 36 (2003) 1765-1773
7. Raveendran, P., Sigeru Omatu, Ong, S.H.: Neuro-pattern Classification Using Zernike Moments and Its Reduced Set of Features. Intelligent Systems Engineering, winter (1994) 230-235
8. J. M., Murre, J.: Learning and Categorization in Modular Neural Networks. London, U.K. Harvester Wheatsheaf (1992)
9. Waibel, Sawa i, H., Shkano, K.: Modularity and Scalling in Large Phonemic Neural Networks. IEEE Trans. Acoust., Speech, Signal Processing, 37 (1989)
10. Lu, L., Kita, H., Nishikawa, Y.: A Multisieving Neural-network Architecture That Decomposes Learning Tasks Automatically, in proc. IEEE Conf. Neural Networks, Orlando, FL (1994) 1319-1324
11. Chong, C., Raveendran, P., Mukundan, R.: A Comparative Analysis of Algorithms for Fast Computation of Zernike Moments. Pattern Recognition, 36 (2003) 731-742
12. Li, Y., Wang, K., Zhang, D.: Step Acceleration Based Training Algorithm for Feedforward Neural Networks. Pattern Recognition, 2002. Proceedings. 16th International Conference on, 2 (2002) 84-87