대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 1988년도 전기.전자공학 학술대회 논문집
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- Pages.628-631
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- 1988
지문 영상의 자동 분류에 관한 연구
A Study on Automatic Classification of Fingerprint Images
- Lim, In-Sic (Electronics, Yonsei University) ;
- Sin, Tae-Min (Electronics, Yonsei University) ;
- Park, Goo-Man (Electronics, Yonsei University) ;
- Lee, Byeong-Rae (Electronics, Yonsei University) ;
- Park, Kyu-Tae (Electronics, Yonsei University)
- 발행 : 1988.07.01
초록
This paper describes a fingerprint classification on the basis of feature points(whorl, core) and feature vector and uses a syntactic approach to identify the shape of flow line around the core. Fingerprint image is divided into 8 by 8 subregions and fingerprint region is separated from background. For each subregion of fingerprint region, the dominant ridge direction is obtained to use the slit window quantized in 8 direction and relaxation is performed to correct ridge direction code. Feature points(whorl, core, delta) are found from the ridge direction code. First classification procedure divides the types of fingerprint into 4 class based on whorl and cores. The shape of flow line around the core is obtained by tracing for the fingerprint which has one core or two core and is represented as string. If the string is acceptable by LR(1) parser, feature vector is obtained from feature points(whorl, core, delta) and the shape of flow line around the core. Feature vector is used hierarchically and linearly to classify fingerprint again. The experiment resulted in 97.3 percentages of sucessful classification for 71 fingerprint impressions.
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