Verification of Ink-on-paper Fingerprints by Using Image Processing Techniques and a New Matching Operator
نویسندگان
چکیده
Fingerprint verification is one of the most reliable personal identification methods. Generally, a based fingerprint verification automatic system, takes advantage of the matching between one on-line acquired fingerprint image and the related database fingerprint image. The proposed system is mainly characterized by noise immune algorithms and by a new operator based on an extension of the Tanimoto distance. The system is able to deal with stained ink-on-paper acquired images with translation and/or rotation problems, too. To validate the effectiveness of the proposed approach, the system was tested with the entire Nist 4 database fingerprint. The achieved verification rate on the entire NIST 4 database is above 92 %.
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