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논문검색

A Location Method Based on Eight- Neighborhood Chain Code for Palmprint Image

원문정보

Jing-xuan Jin, Rong-yi Cui

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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

저자정보

  • 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

참고문헌

자료제공 : 네이버학술정보

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