International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 49 - Issue 8 |
Published: July 2012 |
Authors: I. Abroug Ben Abdelghani, N. Essoukri Ben Amara |
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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.