Markov random field models for directional field and singularity extraction in fingerprint images

IEEE Transactions on Image Processing

Volumn 13, Issue 10, 2004, Pages 1358-1367

  Dass, Sarat C ^a  

^a MICHIGAN STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE EXTRACTION; IMAGE QUALITY; MARKOV PROCESSES; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION; OPTIMIZATION; STATISTICS;

BAYESIAN STATISTICS; DIRECTIONAL FIELD ESTIMATION; FINGERPRINT IMAGES; MARKOV RANDOM FIELD MODELS; SINGULARITY DETECTION;

IMAGE PROCESSING;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; CLASSIFICATION; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER GRAPHICS; COMPUTER SIMULATION; DERMATOGLYPHICS; EVALUATION; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; INFORMATION RETRIEVAL; MATHEMATICAL COMPUTING; METHODOLOGY; PROBABILITY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; STATISTICAL MODEL; VALIDATION STUDY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER GRAPHICS; COMPUTER SIMULATION; DERMATOGLYPHICS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; MARKOV CHAINS; MODELS, BIOLOGICAL; MODELS, STATISTICAL; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; SUBTRACTION TECHNIQUE;

EID: 4544277989     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2004.834659     Document Type: Article

References (31)

1. E. R. Henry, Classification and Uses of Fingerprints. London, U.K.: Routledge, 1900.
2. A. M. Bazen and S. H. Gerez, "Systematic methods for the computation of the directional fields and singular points of fingerprints," IEEE Trans. Pattern Anal. Machine Intell., vol. 24, pp. 905-919, July 2002.
3. C. L. Wilson, G. T. Candela, and C. I. Watson, "Neural network fingerprint classification," J. Artif. Neural Networks, vol. 2, pp. 203-228, 1994.
4. L. O'Gorman and J. V. Nickerson, "An approach to fingerprint filter design," Pattern Recognit., vol. 22, no. 1, pp. 362-385, 1987.
5. A. R. Rao, A Taxonomy for Texture Description and Identification. New York: Springer-Verlag, 1990.
6. L. Hong, Y. Wan, and A. K. Jain, "Fingerprint image enhancement: Algorithm and performance evaluation," IEEE Trans. Pattern Anal. Machine Intell., vol. 20, pp. 777-789, Aug. 1998.
7. A. K. Jain, L. Hong, S. Pankanti, and R. Bolle, "An identity authetication system using fingerprints," IEEE Trans. Pattern Anal. Machine Intell., vol. 85, pp. 1365-1388, Sept. 1997.
8. N. K. Ratha, S. Chen, and A. K. Jain, "Adaptive flow orientation based feature extraction in fingerprint images," Pattern Recognit., vol. 28, pp. 1657-1672, 1995.
9. O. Nakamura, K. Goto, and T. Minami, "Fingerprint classification by directional distribution patterns," Syst., Comput., Control., vol. 13, no. 5, pp. 81-89, 1982.
10. V. S. Srinivasan and N. N. Murthy, "Detection of singular points in fingerprint images," Pattern Recognit., vol. 25, no. 2, pp. 139-153, 1992.
11. A. R. Rao and R. C. Jain, "Computerized flow field analysis: Oriented texture fields," IEEE Trans. Pattern Anal. Machine Intell., vol. 14, pp. 693-709, July 1992.
12. P. Perona, "Orientation diffusions," IEEE Trans. Image Processing, vol. 7, pp. 457-467, Mar. 1998.
13. A. K. Jain, S. Prabhakar, L. Hong, and S. Pankanti, "Filterbank-based fingerprint matching," IEEE Trans. Image Processing, vol. 9, pp. 846-859, July 2000.
14. D. Geman and S. Geman, "Stochastic relaxation, Gibbs distribution and the Bayesian restoration of images," IEEE Trans. Pattern Anal. Machine Intell., vol. 6, pp. 721-741, June 1984.
15. T. Simchony, R. Chellappa, and Z. Lichtenstein, "Relaxation algorithms for map estimation gray-level images with multiplicative noise," IEEE Trans. Inform. Theory, vol. 36, pp. 608-613, May 1990.
16. J. L. Marroquin, S. Mitter, and T. Poggio, "Probabilistic solution of illposed problems in computational vision," J. Amer Stat. Assoc., vol. 82, no. 397, pp. 76-89, 1987.
17. M. L. Comer and E. J. Delp, "Parameter estimation and segmentation of noisy or textured images using the EM algorithm and mpm estimation," in Proc. IEEE Int. Conf. Image Processing, vol. 2, 1994, pp. 650-654.
18. J. Zhang, J. W. Modestino, and D. A. Langan, "Maximum likelihood parameter estimation for unsupervised stochastic model-based image segmentation," IEEE Trans. Image Processing, vol. 2, pp. 404-420, Apr. 1994.
19. H. Derin and W. Cole, "Segmentation of textured images, using Gibbs random fields," Comput. Vis. Graph. Image Process., vol. 32, pp. 72-98, 1986.
20. Y. Zhang, M. Brady, and S. Smith, "Segmentation of brain mr images through a hidden Markov random field model and the EM algorithm," IEEE Trans. Med. Imag., vol. 20, pp. 45-57, Jan. 2001.
21. D. Geman, S. Geman, C. Graffigne, and P. Dong, "Boundary detection by constrained optimization," IEEE Trans. Pattern Anal. Machine Intell., vol. 12, pp. 609-628, July 1990.
22. D. Geman and G. Reynolds, "Constrained restoration and the recovery of discontinuities," IEEE Trans. Pattern Anal. Machine Intell., vol. 14, pp. 767-783, Mar. 1992.
23. P. Green, "Bayesian reconstructions from emission tomography data using a modified EM algorithm," IEEE Trans. Med. Imag., vol. 9, pp. 84-93, Jan. 1990.
24. S. Geman and S. McClure, "Statistical methods for tomographic image reconstruction," Bull. Int. Stat. Inst., vol. 4, pp. 5-21, 1987.
25. S. Z. Li, Markov Random Field Modeling in Image Analysis. Tokyo, Japan: Springer, 2001.
26. R. Chellappa and A. Jain, Eds., Markov Random Fields: Theory and Applications. New York: Academic, 1993.
27. S. T. Acton and A. C. Bovik, "Nonlinear image estimation using piecewise and local image models," IEEE Trans. Image Processing, vol. 7, pp. 979-991, July 1998.
28. S. T. Acton, "Piecewise and local image models for regularized image restoration using cross-validation," IEEE Trans. Image Processing, vol. 8, pp. 652-665, May 1999.
29. J. E. Besag, "Spatial interaction and the statistical analysis of lattice systems (with discussions)," J. R. Stat. Soc. Ser. B Stat. Methodol., vol. 36, pp. 192-236, 1974.
30. J. E. Besag, "Statistical analysis of nonlattice data," The Statistician, vol. 24, pp. 179-195, 1975.
31. NIST: 8-Bit gray scale images of fingerprint image groups (FIGS) [Online]. Available: http://www.nist.gov/srd/nistsd4.htm