Wavelet transform based global features for online signature recognition

被引：0
|
作者：
Afsar, F. A. [1 ]
Arif, M. [1 ]
Farrukh, U. [1 ]
机构：
[1] Pakistan Inst Engn & Appl Sci, Dept Comp & Informat Sci, Islamabad, Pakistan
来源：
PROCEEDINGS OF THE INMIC 2005: 9TH INTERNATIONAL MULTITOPIC CONFERENCE - PROCEEDINGS | 2005年
关键词：
biometrics; signature verification; wavelet transform; k-NN classifier;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents an efficient algorithm for an online signature verification system that is based on the extraction of global features from the spatial coordinates obtained during the online acquisition of a signature using one dimensional wavelet trasnsform. A k-NN classifier is used for classification purposes. Low error rates obtained for both random and skilled forgeries datasets illustrate the feasibility of the algorithm for an online signature verification system.
引用
收藏
页码：634 / 639
页数：6
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