Experimental Evaluation of Matching-Score Normalization Techniques on Different Multimodal Biometric Systems
The goal of this work is the experimental evaluation of matching-score normalization techniques for the following three multimodal biometric systems: a verification system based on the fusion of face and palmprint principal line features, an identification system based on eigenfingers and finger-geo...
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| Vydáno v: | MELECON 2006 - 2006 IEEE Mediterranean Electrotechnical Conference s. 498 - 501 |
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| Hlavní autoři: | , |
| Médium: | Konferenční příspěvek |
| Jazyk: | angličtina |
| Vydáno: |
IEEE
2006
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| Témata: | |
| ISBN: | 9781424400874, 1424400872 |
| ISSN: | 2158-8473 |
| On-line přístup: | Získat plný text |
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| Shrnutí: | The goal of this work is the experimental evaluation of matching-score normalization techniques for the following three multimodal biometric systems: a verification system based on the fusion of face and palmprint principal line features, an identification system based on eigenfingers and finger-geometry, and an identification system based on eigenpalm and eigenfinger features. The following normalization techniques are tested: Bayes-based normalization and several heuristic techniques (min-max, z-score, median-MAD, double-sigmoid, tanh, and piecewise-linear). The results of evaluation are represented by means of system performance (expressed by ROC, EER and minTER) and F-statistics |
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| ISBN: | 9781424400874 1424400872 |
| ISSN: | 2158-8473 |
| DOI: | 10.1109/MELCON.2006.1653147 |

