A Method of On-Line Signature Verification with Consistent Spectral Features
Xinghua Xia, Fangjun Luan, Zhili Chen
Available Online July 2015.
- https://doi.org/10.2991/lemcs-15.2015.157How to use a DOI?
- On-line signature verification; Consistent spectral features; Consistency analysis; Wavelet packet; CPF-DTW
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - International Conference on Logistics Engineering, Management and Computer Science (LEMCS 2015) PB - Atlantis Press SP - 801 EP - 805 SN - 1951-6851 UR - https://doi.org/10.2991/lemcs-15.2015.157 DO - https://doi.org/10.2991/lemcs-15.2015.157 ID - Xia2015/07 ER -