  This paper deals with offline handwriting signature verification.We propose a
planar neuronal model of signature image. Planarmodelsare generally based on
delimiting homogenous zones ofimages; we propose in this paper an automatic
segmentationapproach into bands of signature images. Signature image ismodeled
by a planar neuronal model with horizontal secondarymodels and a
verticalprincipal model. The proposed methodhas been tested on two databases.
The first is the one we havecollected; it includes 6000 signaturescorresponding
to 60writers. The second is the public GPDS-300 database including16200
signature corresponding to 300 persons. The achievedresults are promising.
