On-line signature verification using improved segmentation

被引：0

作者：

Zou, MF ^{[1
]}

Tong, JJ ^{[1
]}

Lou, ZL ^{[1
]}

Liu, CP ^{[1
]}

机构：

[1] Chinese Acad Sci, Inst Automat, Beijing 100080, Peoples R China

来源：

2003 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-5, CONFERENCE PROCEEDINGS | 2003年

关键词：

signatures verification; biometric authentication; hidden Markov model; segmentation;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper describes an on-line signature verification using HMM (Hidden Markov Model). The system is based on combining local time-based and shape-based comparison between the input signature and the reference model. We proposed a novel initialization algorithm to avoid the local optimal of the HMM's re-estimation. To get reliable segment using HMM, we adopt a meliorated HMM re-estimation algorithm during training. In addition, we use a novel algorithm to avoid losing the important information at cusps in preprocessing. The tests based on databases and in live reveal the feasibility of the proposed method.

引用

页码：256 / 261

页数：6

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