FINGERPRINT SUB-CLASSIFICATION: A NEURAL NETWORK APPROACH

Intelligent Biometric Techniques in Fingerprint and Face Recognition

Volumn , Issue , 2022, Pages 106-134

  Drets, G A ^a   Liljenstrom H G ^b  

^a UNIVERSIDAD DE LA REPÚBLICA   (Uruguay)

^b ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85139695315     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1201/9780203750520-3     Document Type: Chapter

References (32)

1. Almansa, A., Curbelo, R., and Drets, G. (1996), “AFIS Prototype 0, Development of an Automatic Fingerprint Identification System, " Project BID/CONICYT 96/94 Report, Universidad de la República, Uruguay.
2. Aushermann, D.A., Fairchild, R.C., Moyers, R.E., Hall, W.D., and Mitchel, T.H. (1973), “A Proposed Method for the Analysis of Dermatoglyphics Patterns, " Proceedings of the International Society for Optical Engineering SPIEt Vol. 40, pp. 171-180.
3. Bergengruen, O. (1994), “Pre-processing of Poor Quality Fingerprint Images, " Proceedings of the XIV Int. Conf. of the Chilean Computer Science Society, Concepción, pp. 43-54.
4. Candela, G.T., Grother, P.J., Watson, C.L, Wilkinson, R.A., and Wilson, C.L. (1995), “PCASYS - A Pattern-level Classification Automation System for Fingerprints, " NISTIR 5647, National Institute of Standards and Technology.
5. Drets, G. and Liljenstróm, H.G. (1998), “Fingerprint Sub-classification and Singular Point Detection, " International Journal of Pattern Recognition and Artificial Intelligence, Vol. 12, No. 4, pp. 407-422.
6. FBI (1984), The Science of Fingerprints, U.S. Department of Justice, Washington, D.C.
7. Galton, F. (1892), Finger Prints, Macmillan, New York.
8. Halici, U. and Ongun, G. (1996), “Fingerprint Classification Through Self-organizing Feature Maps Modified to Treat Uncertainties, " Proceedings of the IEEE, Vol. 84, No. 10, pp. 1497-1512.
9. Henry, E.R. (1900), Classification and Uses of Fingerprints, George Routledge and Sons, London.
10. Hutchinson, J. (1981), “Fractals and Self-Similarity, " Journal of Mathematics, Indiana University, Vol. 30, pp. 713-747.
11. Karu, K. and Jain, A.K. (1996), “Fingerprint Classification, " Pattern Recognition, Vol. 29, No. 3, pp. 389-404.
12. Kawawoe, M. and Tojo, A. (1984), “Fingerprint Pattern Classification, " Pattern Recognition, Vol. 17, No. 3, pp. 295-303.
13. Kuji, K., Hoshino, Y., and Asai, K. (1990), “Automated Fingerprint Identification System (AFIS), " NEC Research and Development Journal, No. 96, pp. 143-146.
14. Lee, H.C. and Gaensslen, R.E. (Eds.) (1991), Advances in Fingerprint Technology, Elsevier, New York.
15. Lindeberg, T. (1994), Scale Space Theory on Computer Vision, Kluwer Academic Publishers, Dordrecht.
16. Lynch, M.R. and Gaunt, R. (1995), “Application of Linear Weight Neural Networks to Fingerprint Recognition, " Proceedings of the 4th IEE International Conference, No. 409, pp. 139-141.
17. Mardia, K.V., Baczkowski, A.J., Feng, X., and Hainsworth, T.J. (1997), “Statistical Methods for Automatic Interpretation of Digitally Scanned Finger Prints, " Pattern Recognition Letters, Vol. 18, pp. 1197-1203.
18. McCabe, R.M., Wilson C.L., and Grubb, D. (1995), “Research Considerations Regarding FBI-IAFIS, Tasks and Requirements, " NISTIR 4892, National Institute of Standards and Technology.
19. Mehtre, B. (1993), “Fingerprint Image Analysis for Automatic Identification, " Machine Vision and Applications, Vol. 6, pp. 124-139.
20. Rao, C.V.K. and Black, K. (1980), “Type Classification of Fingerprints: A Syntactic Approach, " IEEE Trans. On Pattern Analysis and Machine Intelligence, Vol. 2, pp. 223-231.
21. Rumelhart, D.E. and McClelland, J.L. (Eds.) (1986), Parallel Distributed Processing: Explorations in the Microstructure of Cognition, Vol. 1, Cambridge, MA, MIT Press.
22. Schaumann, B. and Alter, M. (Eds.) (1976), Dermatoglyphics in Medical Disorders, Springer-Verlag, Berlin.
23. Srinivasan, V.S. and Murthy, N.N. (1992), “Detection of Singular Points in Fingerprint Images, " Pattern Recognition, Vol. 25, No. 2, pp. 139-153.
24. Stock, R.M. and Swonger, CM. (1969), Development of a Reader of Fingerprint Minutiae, Cornell Aeronautical Laboratory, Technical Report CAL No. XM-2478-X-1:13-17.
25. Trenkle, J.M. (1994), “Region of Interest Detection for Fingerprint Classification, " Proceedings of The International Society for Optical Engineering SPIEt Vol. 2103, pp. 48-59.
26. Vizcaya, P. and Gerhardt, L. (1997), “Multi-resolution Fuzzy Approach for Singularity Detection in Fingerprint Images, " Proceedings of The International Society for Optical Engineering SPIEt Vol. 2935, pp. 46-56.
27. Watson, C.I. (1993), NIST Special Database 9. NIST 8-bit Gray Scale Images of Mated Fingerprint Card Pairs, National Institute of Standards and Technology.
28. Watson, C.I. (1993), NIST Special Database 14. Mated Fingerprint Card Pairs 2, National Institute of Standards and Technology.
29. Watson, C.I. and Wilson, C.L. (1992), NIST Special Database 4. Fingerprint Database, National Institute of Standards and Technology.
30. Wegstein, J.H. (1982), “An Automated Fingerprint Identification System, " NBS Special Publication 500-89, National Bureau of Standards, U. S. Department of Commerce.
31. Wilson, C.L., Candela, G.T., and Watson, C.I. (1993), “Neural Network Fingerprint Classification, " Journal of Artificial Neural Networks, Vol. 1, No. 2, pp. 1-25.
32. Werbos, P. (1974), Beyond Regression: New Tools for Prediction and Analysis in the Behavioral Sciences, PhD Thesis, Harvard, Cambridge, MA.