Comparative study of feature extraction methods with K-NN for off-line signature verification

被引：4

作者：

Mahar, Jayed Ahmed ^{[1
]}

Mahar, Mumtaz Hussain

Khan, Muhammad Khalid

机构：

[1] Shah Abdul Latif Univ, Dept Comp Sci, Khairpur, Pakistan

[2] PAF Karachi Inst Econ & Technol, Karachi, Pakistan

来源：

SECOND INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES 2006, PROCEEDINGS | 2006年

关键词：

off-line signature verification; feature extraction; grid feature; global feature; texture feature;

D O I：

10.1109/ICET.2006.335945

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper verification of signatures is reviewed and different feature extraction methods with K-NN are compared in order to obtain the optimized high performance signature verification for improving, he identification rate. The task of signature verification is to judge whether an input signature is a genuine or a forged. This task is performed by comparing the collected signature samples with input signatures. In this purpose, three feature extraction methods arc reviewed and used for the comparison of off-line signatures.

引用

页码：115 / 120

页数：6

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