A Multi-matching Method of On-line Handwritten Signature Verification Based on Mixture Features

摘要：

Against large error rate in the signature verification process, this paper presents a multi- matching method for dynamic signature verification. The first matching uses global features and the second matching is based on local features. Experiment show that recognition is correct to 97.87％ and equal error rate is 2. 13％. The performance is satisfactory.

作者: Zhang jianqi Liu Mandan Qi Zhongji

作者单位: Inst. of Automation, East China University of Science and Technology Shanghai, China

会议类型: 国际会议

会议名称: 第六届影像科学与硬拷贝技术国际会议(ICISH08)(The 6th International Conference on Imaging Science and Hardcopy)

会议地点: 广东湛江

会议语种:英文

页码: 169-170,176

在线出版日期: 2008-01-10（万方平台首次上网日期，不代表论文的发表时间）