FUSION OF GLOBAL AND LOCAL INFORMATION FOR AN ON-LINE SIGNATURE VERIFICATION SYSTEM

摘要：

In this paper, an on-line signature verification system exploiting local and global information using two-stage fusion is presented. At the first stage, global information is extracted as I3-dimensional vector and recognized by Majority Classifiers, and then local information is extracted as time functions of various dynamic properties and recognized by BP neural network classifier. By fusing global and local information and introducing an enhanced dynamic time warping algorithm and a normalized feature measure, our method obtained an average EER of 4.02％ on public database SVC2004( First Signature Verification Competition 2004) Task2 compared to 6.90％ the first place at SVC2004.

关键词： Biometrics online signature verification DTW algorithm two stage fusion

作者: NING-NING LIU YUN-HONG WANG

作者单位: Intelligent Recognition and Image Processing Laboratory, School of Computer Science and Engineering, Beihang University, Beijing, 100083, China

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 57-61

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）