Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/105498
Type: Artigo de periódico
Title: Offline Signature Verification System Based On The Online Data
Author: Zimmer A.
Ling L.L.
Abstract: Most of the signature verification work done in the past years focused either on offline or online approaches. In this paper, a different methodology is proposed, where the online reference data acquired through a digitizing tablet serves as the basis for the segmentation process of the corresponding scanned offline data. Local windows are built over the image through a self-adjustable learning process and are used to focus on the feature extraction step. The windows positions are determined according to the complexity of the underlying strokes based on the observation of a delta-lognormal handwritten reproduction model. Local features extraction that takes place focused on the windows formed, and it is used in conjunction with the global primitives to feed the classifier. The overall performance of the system is then measured with three different classification schemes.
Editor: 
Rights: aberto
Identifier DOI: 10.1155/2008/492910
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-43949084082&partnerID=40&md5=b7c31d378a30d8996103893f2c473496
Date Issue: 2008
Appears in Collections:Unicamp - Artigos e Outros Documentos

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