Fast Matching Algorithm Based on Fingerprint Classification Information
Автор: Na Li, Wenbi Rao, Tiecheng Xu
Журнал: International Journal of Wireless and Microwave Technologies(IJWMT) @ijwmt
Статья в выпуске: 2 Vol.1, 2011 года.
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This paper focuses on fingerprint minutia matching algorithm. A special minutia neighbor structure is proposed during the matching process in this algorithm. It can locate fingerprints using the singular from classification information. In addition, minutia structure can be used to save the time of matching minutia in a simple but effective way. Then, the matching of minutia is based on the changeable sized boundary box. At the same time, possible reference position is computed to make sure the algorithm more robust to nonlinear deformation from fingerprint images. Experimental results on Fingerprint verification competition FVC2004 databases show that this algorithm can speed up the matching of fingerprint database with a preferable performance.
Fingerprint identification, classification, matching, singular point
Короткий адрес: https://sciup.org/15012730
IDR: 15012730
Список литературы Fast Matching Algorithm Based on Fingerprint Classification Information
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