Abstract
Minutiae based matching methods are the most intensively investigated matching methods in fingerprint recognition. However, the discriminative information contained in the extracted minutiae cannot be effectively used in recent related techniques. This paper proposes to analyze and use the discriminative information contained in the unsuccessfully matched minutiae in order to improve the recognition accuracy of the automatic fingerprint recognition systems. Specifically, we extract seven features from the unmatched minutiae, and for each of them, we calculate an auxiliary matching score. The combination of our seven auxiliary matching scores with the matching score of the successfully matched minutiae enables our matching method to get boosted recognition accuracy. The discrimination ability of the unmatched minutiae and the effectiveness of the proposed method are validated by the experimental results obtained using the FVC2000, FVC2002 and FVC2004 databases for international fingerprint verification competition. In the experiments, the fingerprint recognition accuracy is significantly promoted by the proposed method.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
