This paper deals with offline handwriting signature verification. We propose an automatic segmentationapproach into bands of signature images. The method has been tested on two databases.
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.