Abstract
The abstract provides a brief study of the widely used technology that is fingerprint, discussing issues and challenges in the field. It highlights fingerprint databases and evaluation campaigns, specifically focusing on the Bio Secure Benchmarking Framework for Fingerprints. The framework utilizes the NIST Fingerprint Image Software (NFIS2) and the MCYT-100 database, employing two evaluation protocols. The abstract compares two research systems within the proposed framework, detailing their different approaches to fingerprint processing. Fusion experiments involving various combinations of these systems are discussed, and the NFIS2 software is used to obtain fingerprint scores for multimodal experiments conducted in the Bio Secure Multimodal Evaluation Campaign (BMEC’2007). Keywords—Computer graphics, Artificial intelligence, Image recognition, Fingerprint recognition.
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