An Improved Fingerprint Image Segmentation Algorithm Based on Visual Perception Model
The fingerprint segmentation algorithm based on gray variance can not segment those fingerprint images with high noise. After analyzing limitation of the fingerprint image segmentation algorithm based on gray variance, the paper proposes the improved FuzzyART algorithm to acquire the local image gray contrast ratio and gradient identity characteristics combining to the basic gray distributing character in the valid fingerprint image region. The segmented results of the algorithm proposed in the paper are more exact and reliable, and it can be widely used in real-time automatic fingerprint identification systems.
Fingerprint image image segmentation Visual perception Fuzzy- ART model
Xuzhou LI Benzheng WE Fei YU Yuying LI Zhiguang TIAN
School of Computer Science and Technology Shandong University Shandong Youth University Of Political College of Science and Engineering Shandong University of Traditional Chinese Medicine Jinan, China Department of Fundamental Theories Shandong Sport University Jinan, China School of Software Engineering Nankai University Shandong Youth University Of Political Science Jina School of Informatics Linyi University Linyi, China
国际会议
太原
英文
424-428
2011-02-26（万方平台首次上网日期，不代表论文的发表时间）