A Combined Method for On-Line Signature Verification

被引：2

作者：

Boyadzhieva, Desislava ^{[1
]}

Gluhchev, Georgi ^{[1
]}

机构：

[1] Inst Informat & Commun Technol, BG-1113 Sofia, Bulgaria

来源：

CYBERNETICS AND INFORMATION TECHNOLOGIES | 2014年 / 14卷 / 02期

关键词：

On-line signature verification; neural networks; feature selection; SUsig database; forgery signatures;

D O I：

10.2478/cait-2014-0022

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

combined method for on-line signature verification is presented in this paper. Moreover, all the necessary steps in developing a signature recognition system are described: signature data pre-processing, feature extraction and selection, verification and system evaluation. NNs are used for verification. The influence of the signature forgery type (random and skilled) over the verification results is investigated as well. The experiments are carried out on SUsig database which consists of genuine and forgery signatures of 89 users. The average accuracy is 98.46%.

引用

页码：92 / 97

页数：6

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