Minutiae filtering using ridge-valley method
Abstract In order to identify subjects in a convenient and efficient way one must use some special feature that makes it possible to discriminate between persons. Some of the features are biometric in nature, such as iris texture, hand shape, the human face, and of course finger prints. These play an important role in many automatic identification systems, since every person is believed to have a unique set of fingerprints. Before a fingerprint image can be looked up in a database, it has to be classified into one of 5 types in order to reduce processing times.
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Woods, K.; Kegelmeyer, W.P. and Bowyer, K.W. 1997. Combination of Multiple Classifiers Using Local Accuracy Estimates. In IEEE Trans. Pattern Analysis and Machine Intelligence, 19(4): 405-410. http://dx.doi.org/10.1109/34.588027
Arcelli C. and Baja G.S.D., 1984. A width independent fast thinning algorithm. In IEEE Transactions on Pattern Analysis Machine Intelligence.
Hong, L., Wan, Y. and Jain, A. K. 1998. Fingerprint image enhancement: Algorithm and performance evaluation. In IEEE Trans. Pattern Anal. Machine Intell., 20: 777–789. http://dx.doi.org/10.1109/34.709565
Hung D.C.D., 1993. Enhancement and feature purification of fingerprint images, Pattern Recognition.
Lam L. Lee S.W. and Suen C.Y., 1992. Thinning methodologies: A comprehensive survey. In IEEE Transactions on Pattern Analysis Machine Intelligence. http://dx.doi.org/10.1109/34.161346
Miller, B. 1994. Vital signs of identity.IEEE Spectrum, 31 (2): 22-30. http://dx.doi.org/10.1109/6.259484
Rao, A. R. 1990. A Taxonomy for Texture Description and Identification, New York: Springer-Verlag. http://dx.doi.org/10.1007/978-1-4613-9777-9
Ratha N.K. - Chen S.Y. and Jain A.K., 1995. Adaptive flow orientation-based feature extraction in fingerprint images, Pattern Recognition, 1995.
Woods, K.; Kegelmeyer, W.P. and Bowyer, K.W. 1997. Combination of Multiple Classifiers Using Local Accuracy Estimates. In IEEE Trans. Pattern Analysis and Machine Intelligence, 19(4): 405-410. http://dx.doi.org/10.1109/34.588027
Ameller, M. A., & González, M. A. (2016). Minutiae filtering using ridge-valley method. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 5(1), 01–10. https://doi.org/10.14201/ADCAIJ201651110
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