Improvement of Offline Signature Verification Method Using Discrete Wavelet Transform

被引：0
作者：
Biswas S. [1 ]
Biswas S. [1 ]
Saha B. [1 ]
机构：
[1] Electronics and Communication Engineering, Guru Nanak Institute of Technology, Panihati, 700114, Sodepur
来源：
Journal of The Institution of Engineers (India): Series B | 2021年 / 102卷 / 04期
关键词：
Discrete wavelet transform; Offline signature verification; Recognition rate;
D O I：
10.1007/s40031-021-00603-8
中图分类号：
学科分类号：
摘要：
Signature verification is a widely used personal authentication and verification scheme. To check the legality of different documents such as cheque, visa application, different academic certificates, and attendance checking, it is required to have an automatic offline signature verification system. To solve the abovementioned problem, in this paper we have presented a new transform domain-based offline signature verification scheme. At the first step, spatial features are extracted using the statistical analysis. Then discrete wavelet transform has been used to extract the features in the transform domain. Both the features extracted from the transform domain and spatial domain are combined and fed to the classifier. Different types of classifiers have been used to obtain the recognition rate. The proposed method has been applied on MCYT database and provides the maximum accuracy of 94%. © 2021, The Institution of Engineers (India).
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页码：707 / 712
页数：5
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