A Method of On-Line Signature Verification with Consistent Spectral Features

DOI

10.2991/lemcs-15.2015.157How to use a DOI?

Keywords

On-line signature verification; Consistent spectral features; Consistency analysis; Wavelet packet; CPF-DTW

Abstract

Consistency analysis of signature features has significant effect on the performance and robustness of on-line signature verification. In order to improve the performance of on-line signature verification, this paper proposes a method of on-line signature verification based on spectral consistent features, in which the consistent and effective information is extracted of signature features to be used in verification. In this paper, spectral consistency of features is analyzed by statistics along with the consistent penalty factor. The consistent spectral features are obtained dynamically by the wavelet packet reconstruction with consistent sub-bands. Similarity between test signature and reference are calculated by proposed CPF-DTW to improve the robustness. Several experiments are carried out both on CDB and DB1 which consists of 8150 signatures from 190 individuals in total, the best results of the proposed method are given by EERCDB=2.25% and EERDB1=2.38% respectively which indicates the effectiveness and robustness of our proposed methods.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xinghua Xia
AU  - Fangjun Luan
AU  - Zhili Chen
PY  - 2015/07
DA  - 2015/07
TI  - A Method of On-Line Signature Verification with Consistent Spectral Features
BT  - Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science
PB  - Atlantis Press
SP  - 801
EP  - 805
SN  - 1951-6851
UR  - https://doi.org/10.2991/lemcs-15.2015.157
DO  - 10.2991/lemcs-15.2015.157
ID  - Xia2015/07
ER  -