Computer and Modernization ›› 2012, Vol. 1 ›› Issue (9): 123-126.doi: 10.3969/j.issn.1006-2475.2012.09.031

• 图像处理 • Previous Articles     Next Articles

New Method of Corner Detection and Certain of Palm Region

KUANG Zhi-qi1, LIANG Chun-hong2   

  1. 1. School of Automation Engineering, Northeast Dianli University, Jilin 132012, China;2. Department of Pharmacy, Changchun Medical College, Changchun 130031, China
  • Received:2012-05-18 Revised:1900-01-01 Online:2012-09-21 Published:2012-09-21

Abstract: Corner detection is one of the very important parts of palm print recognition, which makes a great influence on the corner detection. This paper provides a new method for corner detection combined with the extreme value theory and the characteristic of the palm. First, it uses the Sobel algorithm to split the palm image and get the binary image. And then it clusters the binary image, statistic gray value of each line of the palm image to locate the corner. Comparing to the classical methods, it makes a simple way to the center of the palm and the hand rotation.

Key words: corner detection, palm print recognition, Harris, clustering