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4,000원
원문정보
초록
영어
The crucial issue of precise location for on-line palmprint image was to detect corner of hand-shape contour accurately. The existing corner detection algorithm cannot extract corner useful for location automatically. Through analyzing the regularity of chain-code of hand-shape contour, a rapid and effective corner-detection method was proposed in this paper. Firstly, the method of LOG operator and eight neighborhood boundary –tracking algorithm was made use of to extract the hand-shape contour and its chain-code. Then, according to the regularity of hand-shape contour chain-code around corner, the corner of hand-shape contour was detected accurately. Finally, establish a coordinate system according to the corner detected and locate the palmprint image. The experiment results demonstrate the effectiveness and rapidness of the proposed method.
목차
Abstract 1. Introduction 2. Corner Detection 2.1 Palmprint Image Segmentation 2.2 Contour Extraction for Hand Shape 2.3 Corner Extraction 3. Location and Normalization for Palmprint Image 4. Experiment Results and Comparison 5. Conclusion References
Jing-xuan Jin [ Intelligent Information Processing Lab, Department of Computer Science and Technology, College of Engineering, Yanbian University, Yanji 133002, China ]
Rong-yi Cui [ 최영일 | Intelligent Information Processing Lab, Department of Computer Science and Technology, College of Engineering, Yanbian University, Yanji 133002, China ]
한국어정보학회 [Korean Language Information Science Society]
설립연도
1990
분야
인문학>언어학
소개
학술적인 연구를 통하여 국어정보처리에 관련된 이론 체계를 정립하고, 산업계와의 긴밀한 협동을 통하여 정보처리 기술을 향상 시키면서 정보산업의 성장을 돕고, 대중적인 교육과 홍보를 통하여 발전된 정보 처리의 기술을 보급하므로써 국어의 문화적 가치를 높히고 국어정보 처리 기술의 국제적 지위향상과 표준화에 기여하고자 합니다.