Writer Specific Parameters for Online Signature Verification

被引：0
|
作者：
Manjunatha, K. S. [1 ]
Manjunath, S. [2 ]
Guru, D. S. [1 ]
机构：
[1] Univ Mysore, Dept Studies Comp Sci, Mysore 570006, Karnataka, India
[2] Cent Univ Kerala, Dept Comp Sci, Kasaragod 671316, India
来源：
PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON FRONTIERS IN INTELLIGENT COMPUTING: THEORY AND APPLICATIONS, (FICTA 2016), VOL 2 | 2017年 / 516卷
关键词：
Writer specific features; Writer dependent feature dimension; Symbolic representation; Online signature verification;
D O I：
10.1007/978-981-10-3156-4_42
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this work, we present a new model which is capable of handling variations in signatures for better representation by employing structure preserving feature selection method and representing the selected data in the form of interval representation scheme. The proposed model represents each writer with writer dependent dimension and authentication threshold. Decisions on the number of features to be used for each writer and the similarity threshold for deciding the authenticity of a given signature are arrived based on minimum equal error rate (EER) criteria. Based on the symbolic representation, a method of verification is proposed. The proposed model is tested for its effectiveness on benchmarking MCYT (DB1) and MCYT (DB2) datasets consisting of signatures of 100 and 330 writers respectively. The obtained results indicate the effectiveness of the proposed model.
引用
收藏
页码：407 / 416
页数：10
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