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
收藏
页码：256 / 261
页数：6
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