Abstract
A novel method to match two minutiae point-sets based on the support model we proposed is presented in this paper. In this method, coarse matching is first performed from a number of seeds, and the results are then fused to obtain a constrained corresponding relationship of minutiae in two point-sets. By using the support degree of the elements in the constrained relations, the one-to-one correspondence is finally determined by comparison of similarity of local structures. Experiments show that this algorithm is robust and can deal with the translation, rotation, distortion and outlier problems well.
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Xie, X., Su, F., Cai, A., Sun, J. (2004). A Robust Fingerprint Minutiae Matching Algorithm Based on the Support Model. 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_44
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DOI: https://doi.org/10.1007/978-3-540-25948-0_44
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22146-3
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