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Erschienen in:
2007 | OriginalPaper | Buchkapitel
A Robust Fingerprint Matching Approach: Growing and Fusing of Local Structures
verfasst von : Wenquan Xu, Xiaoguang Chen, Jufu Feng
Erschienen in: Advances in Biometrics
Verlag: Springer Berlin Heidelberg
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This paper proposed a robust fingerprint matching approach based on the growing and fusing of local structures. First, we obtain candidate of minutiae triangles, the smallest local structure in our approach; and then all candidates of minutiae structures grow into larger local structures (we call
growing regions
) based on which we define the
credibility
of minutiae triangles and introduce a competition strategy; finally,
growing region
s compete and fuse into a much larger local structures (called
fusion region
). The matching score is calculated based on the evaluation of growing and fusing of local structures. Results on FVC2004 show that the proposed approach is robust to fingerprint nonlinear deformation and is efficient.