A Fusion Algorithm of the Incomplete Fingerprints Matching based on Fuzzy Criterion

Bo Zhang; Xinjing Liu; Jie Zhang; Xiaojun Jing
March 2012
International Journal of Digital Content Technology & its Applic;Mar2012, Vol. 6 Issue 5, p17
Academic Journal
In this paper, a fusion method based on fuzzy criterion is proposed for incomplete fingerprint matching due to skin distortions. Firstly, according to the properties of competition of the local fingerprint, complementation and redundancy of the global fingerprint, the proposed scheme is based on orientation entropy and Poincare Index to detect the reference point of fingerprints, and then extract ROI. Secondly, this paper presents a fusion matching scheme which is based on fuzzy criterion. In order to improve the matching accuracy, the fusion matching scheme uses fuzzy theory as a criterion to integrate decisions from different algorithms. Experiment results executed on FVC2002 prove the proposed scheme is effective for fingerprints identification. In addition, it is robust to resolution and rotation.


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