Multi-feature based score fusion method for fingerprint recognition accuracy boosting

In fingerprint recognition system, minutiae-based matching algorithms are most intensively researched. However, in most minutia-based methods, the similarity score is given based on the main score of matched minutiae. And the boosted information is not effectively used in the final similarity score...

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Bibliographic Details
Published in2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA) pp. 1 - 4
Main Authors Qiongxiu Li, Changlong Jin, Weonjin Kim, Jungmin Kim, Shengzhe Li, Hakil Kim
Format Conference Proceeding
LanguageEnglish
Published Asia Pacific Signal and Information Processing Association 01.12.2016
Subjects
Electronic mail
Feature extraction
Fingerprint recognition
Pattern matching
Robustness
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Summary:In fingerprint recognition system, minutiae-based matching algorithms are most intensively researched. However, in most minutia-based methods, the similarity score is given based on the main score of matched minutiae. And the boosted information is not effectively used in the final similarity score computation. Based on the observation, we extract several features as the supplementary scores. And the proposed method can effectively combine the additional information to boost the fingerprint recognition accuracy. The effectiveness of boosted information is validated by the experimental result conducted in related databases. And according to the performance evaluation, the fingerprint recognition accuracy is significantly boosted by the proposed method which at most get 97.05% accuracy boost.
DOI:10.1109/APSIPA.2016.7820729