A GABOR FILTER-BASED METHOD FOR FINGERPRINT IDENTIFICATION

Intelligent Biometric Techniques in Fingerprint and Face Recognition

Volumn , Issue , 2022, Pages 137-151

  Hamamoto, Y ^a  

^a YAMAGUCHI UNIVERSITY   (Japan)

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EID: 85139659782     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1201/9780203750520-4     Document Type: Chapter

References (17)

1. Gabor, D. (1946), “Theory of communication, " J. Inst. Elect. Engr., Vol. 93, pp. 429-457.
2. Marcelja, S. (1980), “Mathematical description of the responses of simple cortical cells, " Journal of the Optimal Society of America, Vol. 70, pp. 1297-1300.
3. Daugman, J.G. (1980), “Two-dimensional spectral analysis of cortical receptive field profiles, " Vision Res., Vol. 20, pp. 847-856.
4. Turner, M.R. (1986), “Texture discrimination by Gabor functions, " Biological Cybernetics, Vol. 55, pp. 71-82.
5. Porat, M. and Zeevi, Y.Y, (1988), “The generalized Gabor scheme of image representation in biological and machine vision, " IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 10, pp. 452-468.
6. Hamamoto, Y., Uchimura, S., Masamizu, K. and Tomita, S. (1995), “Recognition of handprinted Chinese characters using Gabor features, " Proc. of the 3rd Int. Conf. Document Analysis and Recognition, pp. 819-823, Montreal.
7. Yamada, H., Saito, T. and Mori, S. (1981), “An improvement of correlation method - Locally maximized correlation -, " IECE Transactions of the Institute of Electronics and Communication Engineers of Japan, Vol. J64-D(10), pp. 970-976 (in Japanese).
8. Chang, T.L. (1980), “Texture analysis of digitized fingerprints for singularity detection, " Proc. Int. Conf. Pattern Recognition, pp. 478-480, Miami.
9. Weatherall, D. (1986), “Automated inspection of surface texture, " Sensor Review, pp. 27-28, January.
10. Shimizu, A. and Hase, M. (1984), “Detection method of the core point in fingerprint, " IECE Transactions of the Institute of Electronics and Communication Engineers of Japan, Vol. J67-D(3), pp. 383-384 (in Japanese).
11. Daugman, J.G. (1985), “Uncertainty relation for resolution in space, spatial-frequency, and orientation optimized by two-dimensional visual cortical filters, " Journal of the Optimal Society of America, Vol. 2, pp. 1160-1169.
12. Wegstein, J.H. (1970), “Automated fingerprint identification, " NBS Tech. Note, 538.
13. Hoshino, Y., Asai, K., Kato, Y. and Kiji, K. (1980), “Automatic reading and matching for single-fingerprint identification, " 65th International Association for Identification Conference, pp. 1-7, Ottawa, Canada.
14. Hrechak, A.K. and Mchugh, J.A. (1990), “Automated fingerprint recognition using structural matching, " Pattern Recognition, Vol. 23, pp. 893-904.
15. Mehtre, B.M. (1993), “Fingerprint image analysis for automatic identification, " Machine Vision and Applications, Vol. 6, pp. 124-139, Springer-Verlag.
16. Sammon Jr, J.W. (1969), “A nonlinear mapping for data structure analysis, " IEEE Trans. Computers, Vol. C-18, 5, pp. 401-409.
17. Watson, C.I. (1993), “NIST Special Database 14-Mated Fingerprint Card Paris 2, " NIST.