Abstract
In a previous work, [1], we evaluated a classification algorithm based on the Karu-Jain method [2] and compared the performance with a fully manual method used at the Dirección Nacional de Identificación Civil (DNIC). In this paper, we analyze the high performance improvement achieved using anisotropic diffusion instead of pure averaging for the directions smoothing. We also define a quality measure that shows high correlation with the experts’ criteria. The results are evaluated over 2800 images extracted from a 4 million fingerprint card archive maintained by DNIC.
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Bartesaghi, A., Fernandez, A., Gomez, A.: Performance evaluation of an automatic fingerprint classification algorithm adapted to a vucetich based classification system. In: Bigun, J., Smeraldi, F. (eds.) AVBPA 2001. LNCS, vol. 2091, pp. 259–265. Springer, Heidelberg (2001)
Karu, K., Jain, A.: Fingerprint classification. Pattern Recognition 29(3), 389–404 (1996)
Shen, L.L., Kot, A., Koo, W.M.: Quality Measures of Fingerprint Images. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore (2000)
Pardo, A., Sapiro, G.: Vector Probability Diffusion. IEEE Signal Processing Letters 8(4), 106–109 (2001)
Perona, P.: Orientation Diffusion. IEEE Transactions on Image Processing 7(3), 457–467 (1998)
Perona, P., Malik, J.: Scale-space and Edge Detection Using Anisotropic Diffusion. IEEE Transactions on Pattern Analysis and Machine Intelligence 12(7), 629–639 (1990)
Ratha, N., Karu, K., Chen, S., Jain, A.: A real-time matching system for large fingerprint databases. IEEE Pattern Analysis and Machine Intelligence 18(8) (1996)
Tang, B., Sapiro, G., Caselles, V.: Diffusion of general data on non-flat manifolds via harmonic maps theory: The direction diffusion case. International Journal Computer Vision 36(2), 149–161 (2000)
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© 2004 Springer-Verlag Berlin Heidelberg
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Vallarino, G., Gianarelli, G., Barattini, J., Gómez, A., Fernández, A., Pardo, A. (2004). Performance Improvement in a Fingerprint Classification System Using Anisotropic Diffusion. In: Sanfeliu, A., Martínez Trinidad, J.F., Carrasco Ochoa, J.A. (eds) Progress in Pattern Recognition, Image Analysis and Applications. CIARP 2004. Lecture Notes in Computer Science, vol 3287. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30463-0_73
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DOI: https://doi.org/10.1007/978-3-540-30463-0_73
Publisher Name: Springer, Berlin, Heidelberg
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