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http://dx.doi.org/10.5391/JKIIS.2003.13.5.545

An Ensemble Fingerprint Classification System Using Changes of Gradient of Ridge  

Yoon, Kyung-Bae (김포대학 컴퓨터계열)
Park, Chang-Hee (연세대학교 컴퓨터공학과)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.13, no.5, 2003 , pp. 545-551 More about this Journal
Abstract
Henry System which is a traditional fingerprint classification model is difficult to apply to a modem Automatic Fingerprint Identification System (AFIS). To tackle this problem, this study is to apply algorithm for an An Ensemble Fingerprint Classroom System using changes of gradient of ridge in order to improve precise joining speed of a large volume of database. The existing classification system, Henry System, is useful in a captured fingerprint image of core point and delta point using paper and ink. However, the Henry System is unapplicable in modem Automatic Fingerprint Identification System (AFIS) because of problems such as size of input sensor and way of input. This study is to suggest an Ensemble Fingerprint Classroom System which can classify 5 basic patterns of Henry System in uncaptured delta image using changes of gradient of ridge. The proposed fingerprint classification technique will make an improvement of precise joining speed by reducing data volume.
Keywords
Biometrics; Fingerprint identification; Fingerprint classification; Singular point; Minutia;
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