Online and Offline Signature Verification: A Combined Approach

被引：13

作者：

Radhika, K. S. ^{[1
]}

Gopika, S. ^{[1
]}

机构：

[1] Rajagiri Sch Engn & Technol, Dept Comp Sci & Engn, Kochi, Kerala, India

来源：

PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGIES, ICICT 2014 | 2015年 / 46卷

关键词：

Dynamic time warping; Gradient feature; Pen tip tracking; Projection feature; Signature Verification; Support Vector Machine;

D O I：

10.1016/j.procs.2015.02.089

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Handwritten signature verification is an emerging area. In this paper, an automatic signature verification system has been proposed. This work focuses on both online and offline features of handwritten signatures and aims at combining their results to verify the signature. Signatures are collected for both online and offline. Online data collected is the signing process captured using a webcam and offline data collected are the scanned signatures. Initially both data undergoes appropriate preprocessing steps. Then feature extraction is done where features based on pen tip tracking are used in case of online and gradient and projection based features are used in case of offline method. Later the online and offline method verifies the signature separately and finally their results are combined and the signature is verified using SVM. Paper also compares the results of online, offline and combined approach. (C) 2015 The Authors. Published by Elsevier B.V.

引用

页码：1593 / 1600

页数：8

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