Fingerprint feature matching using CNNS

Qun Gao, George S. Moschytz

Research output: Contribution to journalConference articlepeer-review

9 Scopus citations


Feature Matching is the last, deciding stage in a fingerprint-based verification system. In this paper, a Fingerprint Feature-Matching algorithm which is tailor-made for CNNs is presented. Together with the previously developed CNN Image-Preprocessing and Feature-Extraction algorithms, it realizes a CNN-based fingerprint verification system. The effectiveness of the proposed algorithm, more precisely, the performance of the entire system is evaluated by using a real fingerprint database.

Original languageEnglish
Pages (from-to)III73-III76
JournalProceedings - IEEE International Symposium on Circuits and Systems
StatePublished - 2004
Externally publishedYes
Event2004 IEEE International Symposium on Cirquits and Systems - Proceedings - Vancouver, BC, Canada
Duration: 23 May 200426 May 2004


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