A Novel Matching Technique for Fingerprint Recognition by Graphical Structures

摘要：

　　Fingerprint matching is an important issue in automatic fingerprint identification systems.There are difficulties about fingerprint matching bused on neighborhood.One is the size of the neighborhood can not be determined readily,the other is the feature in the neighborhood can be affected by the noise.To deal with these problem,we developed a novel algorithm for fingerprint matching based on local structures to efficiently extract neighboring minutiae features.Neighboring features present the information of peripheral minutiae which directly connect with the central minutiae on topology.We use one feature vector to present neighboring features from different samples.The samples considered as the same class can make the proposed algorithm robust to rotation and translation of fingerprint images.The experiments are conducted on FVC2002,and the results illustrate the effectiveness of the proposed algorithm.

关键词： Fingerprint matching graphical structure biometrics pattern recognition

作者: Zhifan Gao Xinge You Long Zhou Wu Zeng

作者单位: Department of Electronics and Inform ation Engnineering, Huazhong University of Science and Technolo Department of Electric Information Engineering, Wuhan Polytechnic University, Wuhan, Cnina Department of Electric Information Engineering, Wuhan Polytechnic University, Wuhan, Cnina;State Key

会议类型: 国际会议

会议名称: 2011 International Conference on Wavelet Analysis and Pattern Recognition(2011小波分析与模式识别国际会议)

会议地点: 桂林

会议语种:英文

页码: 77-82

在线出版日期: 2011-07-10（万方平台首次上网日期，不代表论文的发表时间）