A Neuronal Planar Modeling for Handwriting Signature based on Automatic Segmentation
I. AbrougBenAbdelghani, Najoua Essoukri Ben Amara · International Journal of Computer Applications · 2012
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.