Affiliation:
1. Qingdao Agricultural University
2. College of Information Science
Abstract
Using the method of image processing, some palm images are collected by scanner. Method of these images' key points' location and segmentation is researched. After proper preprocessing, images of palm's clear borderline can be acquired. A method of calculating distance derivative is used to mark the key points. Through experiments, it can be seen that the marking effect is good. The key points' marking method has positive significance to the development of automatic diagnostician.
Publisher
Trans Tech Publications, Ltd.
Reference10 articles.
1. A. Jain, R. Bolle and S. Pankanti, Biometrics: Personal Identification in Networked Society [M], Kluwer Academic Publishers, (1999).
2. D. Zhang, Automated Biometrics–Technologies and Systems [J], Kluwer Academic Publishers, (2000).
3. Men Kuo. Research of Palmprint Segmentation Algorithm Based on Palmprint Diagnosis. Masteral Dissertation of Jilin University, (2013).
4. Sun Hong. Research on Non-contact Palmprint Images Acquisition and Recognition System. Masteral Dissertation of Shenyang University of Technology, (2011).
5. http: /edu. northeast. cn/system/2008/02/25/051152549. Shtml.