Abstract
First, an overview of the state of the art in fingerprint recognition is presented, including current issues and challenges. Fingerprint databases and evaluation campaigns, are also summarized. This is followed by the description of the BioSecure Benchmarking Framework for Fingerprints, using the NIST Fingerpint Image Software (NFIS2), the publicly available MCYT-100 database, and two evaluation protocols.
Two research systems are compared within the proposed framework. The evaluated systems follow different approaches for fingerprint processing and are discussed in detail. Fusion experiments involving different combinations of the presented systems are also given. The NFIS2 software is also used to obtain the fingerprint scores for the multimodal experiments conducted within the BioSecure Multimodal Evaluation Campaign(BMEC’2007) reported in Chap.11.
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Notes
- 1.
Material from this section is reproduced with permission from Annals of Telecommunication; source[3].
- 2.
Material from this section is reproduced with permission from Annals of Telecommunication; source[3].
- 3.
Material from this section is reproduced with permission from Annals of Telecommunication; source[3].
- 4.
The experimental protocol (individuals, enrollment and test images) for the results reported in this section is different from the one used for the experiments reported in[4].
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Alonso-Fernandez, F., Bigun, J., Fierrez, J., Fronthaler, H., Kollreider, K., Ortega-Garcia, J. (2009). Fingerprint Recognition. In: Petrovska-Delacrétaz, D., Dorizzi, B., Chollet, G. (eds) Guide to Biometric Reference Systems and Performance Evaluation. Springer, London. https://doi.org/10.1007/978-1-84800-292-0_4
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