Abstract
Falcon-ART is a fuzzy neural network that can be used as fuzzy controllers or applied to areas such as pattern recognition, forgery detection and data analysis. Our previously proposed Falcon-DIC has stronger noise tolerance capability compared to the original Falcon-ART by employing a new clustering technique called Discrete Incremental Clustering (DIC). In this paper, Falcon-DIC is applied to perform direct gray-scale minutiae extraction. Fingerprint features extraction, or minutiae extraction, is an essential part of fingerprint identification systems. Most existing minutiae extraction methods require image preprocessing, such as binarization and thinning. Since these image processing techniques results in the loss of valuable information, our proposed approach can extract minutia directly from gray-scale fingerprint images. Experimental results show that Falcon-DIC based minutiae extraction has invariant ability to rotation and good performance on true acceptance.
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References
Ratha, N.K., Karu, K.: A Real Time Matching System for Large Fingerprint Databases. IEEE Transactions on Pattern Analysis and Machine Intelligence 18, 799–813 (1996)
Liu, J., Huang, Z., Chan, K.L.: Direct Minutiae Extraction from Gray-Level Fingerprint Image by Relationship Examination. In: Proceedings of International Conference on Image Processing, vol. 2, pp. 427–430 (2000)
Maio, D., Maltoni, D.: Direct gray-Scale Minutiae Detection in Fingerprints. IEEE Transactions on Pattern Analysis and Machine Intelligence 19, 27–40 (1997)
Maio, D., Maltoni, D.: Neural Network Based Minutiae Filtering in Fingerprints. In: Proceedings of 14th International Conference on Pattern Recognition, vol. 2, pp. 1654–1658 (1998)
Lin, C.T., Lee, C.S.: Neural Fuzzy Systems. Prentice Hall, Upper Saddle River (1996)
Lin, C.T., Lin, C.J.: An ART-Based Fuzzy Adaptive Learning Control Network. IEEE Transactions on Fuzzy Systems 5, 477–496 (1997)
Tung, W.L., Quek, C.: A Novel Approach to the Derivation of Fuzzy Membership Functions using the Falcon-MART Architecture. Pattern Recognition Letters 22, 941–958 (2001)
Tanaka, K.: An Introduction to Fuzzy Logic for Practical Applications. Springer, USA (1997)
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© 2005 Springer-Verlag Berlin Heidelberg
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Yang, G., Shi, D., Quek, C. (2005). Fingerprint Minutia Recognition with Fuzzy Neural Network. In: Wang, J., Liao, XF., Yi, Z. (eds) Advances in Neural Networks – ISNN 2005. ISNN 2005. Lecture Notes in Computer Science, vol 3497. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427445_26
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DOI: https://doi.org/10.1007/11427445_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25913-8
Online ISBN: 978-3-540-32067-8
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