Abstract
Fingerprint image enhancement and feature extraction are the most important stages in fingerprint verification. The robustness of the system depends entirely upon its ability to enhance bad quality images and reliably extract minutiae from it. In this paper we propose two original algorithms for the extraction of global and local features in fingerprint images. A global feature extraction and enhancement algorithm based on Fourier analysis that is simultaneously able to extract local ridge orientation, ridge frequency and ridge quality measure is proposed. A novel algorithm for minutiae feature extraction and post processing based on chain coded contour following is also presented.
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References
Bazen, Gerez: Extraction of Singular Points from Directional Fields of Fingerprints, Annual CTIT Workshop, Enschede, The Netherlands (2001)
Fingerprint Verification Competition, http://bias.csr.unibo.it/fvc2002/
Gonzalez, R.C., Woods, R.E.: Digital Image Processing. Prentice Hall, Upper Saddle River (2002)
Gormann, L., Nickerson, J.V.: “An Approach to Fingerprint Filter Design“. Patt. Recogn. 22(1), 29–38 (1989)
Govindaraju, V., Shi, Z., Schneider, J.: Feature Extraction Using a Chaincoded Contour Representation. In: International Conference on Audio and Video Based Biometric Person Authentication, Surrey, UK (2003)
Kaas, M., Witkin, A.: Analyzing Oriented Patterns. Comp. Vision Graphics Image Process 37(4), 362–385 (1987)
Kawagoe, M., Tojo, A.: “Fingerprint Pattern Classification“. Pattern Recogntion 17(3), 295–303 (1987)
Ling, H., Wan, Y., Jain, A.K.: Fingerprint Image Enhancement: Algorithm and Performance Evaluation. PAMI 20(8), 777–789 (1998)
Madhavanth, S., Kim, Govindaraju, V.: Chaincode Processing for Hand-written Word Recogntion. IEEE Trans. On Pattern Analysis and Mach. Intell. 19, 27–40 (1997)
Maltoni, D., Maio, D., Jain, A.K., Prabhakar, S.: Hand book of Fingerprint Recognition. Springer, Heidelberg (2003)
Maio, D., Maltoni, D.: Neural Network Based Minutiae Filtering in Fingerprints. In: Proc. 14th International Conf. Pattern Recognition, Brisbane, Australia, pp. 1654–1658 (1998)
Maio, D., Maltoni, D.: Direct Gray Scale Minutiae Detection in Fingerprints. IEEE Trans. On Patt. Analysis and Machine Intell. 19(1) (1997)
Ratha, N.K., Chen, S.Y., Jain, A.K.: Adaptive Flow Orientation Based Feature Extraction in Fingerprint Images. Patt. Recogn. 28(11), 1657–1672 (1995)
Sherlock, B.G., Monro, D.M., Millard, K.: “Fingerprint Enhancement by Directional Fourier Filtering“. IEEE Proc. Vis. Image Signal Process 141(2), 87–94 (1994)
Sherlock, B.G., Monro, D.M.: A Model for Interpreting Fingerprint Topology. Pattern Recognition 26(7), 1047–1055 (1993)
Srinivasan, V.S., Murthy, N.N.: Detection of Singular Points in Fingerprint Images. Pattern Recognition 25(2), 139–153 (1992)
Viscaya, G.: A Nonlinear Orientation Model for Global Description of Fingeprints. Pattern Recognition 29(7), 1221–1231 (1996)
Watson, C.I., Candela, G.T., Grother, P.J.: Comparison of FFT Fingerprint Filtering Methods for Neural Network Classification, NISTIR 5493 (1994)
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Chikkerur, S., Wu, C., Govindaraju, V. (2004). A Systematic Approach for Feature Extraction in Fingerprint Images. In: Zhang, D., Jain, A.K. (eds) Biometric Authentication. ICBA 2004. Lecture Notes in Computer Science, vol 3072. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25948-0_48
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DOI: https://doi.org/10.1007/978-3-540-25948-0_48
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