Fingerprint matching using ridges
| Autor: | Zhengyu Ouyang, Anni Cai, Jianjiang Feng |
|---|---|
| Rok vydání: | 2006 |
| Předmět: |
Minutiae
Matching (statistics) geography geography.geographical_feature_category Computer science business.industry Fingerprint (computing) Pattern recognition Artificial Intelligence Fingerprint Ridge Signal Processing Computer vision Computer Vision and Pattern Recognition Artificial intelligence business Software |
| Zdroj: | Pattern Recognition. 39:2131-2140 |
| ISSN: | 0031-3203 |
| DOI: | 10.1016/j.patcog.2006.05.001 |
| Popis: | Traditionally, fingerprint matching is minutia-based, which establishes the minutiae correspondences between two fingerprints. In this paper, a novel fingerprint matching algorithm is presented, which establishes both the ridge correspondences and the minutia correspondences between two fingerprints. First N initial substructure (including a minutia and adjacent ridges) pairs are found by a novel alignment method. Based on each of these substructure pairs, ridge matching is performed by incrementally matching ridges and minutiae, and then a matching score is computed. The maximum one of the N scores is used as the final matching score of two fingerprints. Preliminary results on FVC2002 databases show that ridge matching approach performs comparably with the minutia-based one. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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