|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 49 - Issue 8 |
| Published: July 2012 |
| Authors: I. Abroug Ben Abdelghani, N. Essoukri Ben Amara |
10.5120/7648-0739
|
I. Abroug Ben Abdelghani, N. Essoukri Ben Amara . A Neuronal Planar Modeling for Handwriting Signature based on Automatic Segmentation. International Journal of Computer Applications. 49, 8 (July 2012), 29-34. DOI=10.5120/7648-0739
@article{ 10.5120/7648-0739,
author = { I. Abroug Ben Abdelghani,N. Essoukri Ben Amara },
title = { A Neuronal Planar Modeling for Handwriting Signature based on Automatic Segmentation },
journal = { International Journal of Computer Applications },
year = { 2012 },
volume = { 49 },
number = { 8 },
pages = { 29-34 },
doi = { 10.5120/7648-0739 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2012
%A I. Abroug Ben Abdelghani
%A N. Essoukri Ben Amara
%T A Neuronal Planar Modeling for Handwriting Signature based on Automatic Segmentation%T
%J International Journal of Computer Applications
%V 49
%N 8
%P 29-34
%R 10.5120/7648-0739
%I Foundation of Computer Science (FCS), NY, USA
This paper deals with offline handwriting signature verification. We propose a planar neuronal model of signature image. Planar models are generally based on delimiting homogenous zones of images; we propose in this paper an automatic segmentation approach into bands of signature images. Signature image is modeled by a planar neuronal model with horizontal secondary models and a vertical principal model. The proposed method has been tested on two databases. The first is the one we have collected; it includes 6000 signatures corresponding to 60 writers. The second is the public GPDS-300 database including 16200 signature corresponding to 300 persons. The achieved results are promising.