Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/44065
Title: Writer identification based on graphology techniques
Authors: Santana, Omar
Travieso, Carlos M. 
Alonso, Jesús B. 
Ferrer, Miguel A. 
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Image databases , Biometrics
Issue Date: 2010
Publisher: 0885-8985
Journal: IEEE Aerospace and Electronic Systems Magazine 
Abstract: Herein, an innovative system biometric of specific writers' identification based on technical expert calligraphic and graphology on handwritten script is presented. It has been developed working in the off-line mode on a Spanish words image database, formed by 29 different individuals. All extractions of characteristics carried out on the images have been used for the identification and were carried out by means of the estimate of several elements objects using studies from The French Graphology School. They are commonly employed by handwriting experts in judicial matters. The success percentage achieved with five of these characteristics from this database of 29 writers is 99.34%. In new experimentation, with these same parameters and enlarging the database to 70 users, a success rate of 92% was reached.
URI: http://hdl.handle.net/10553/44065
ISBN: 978-1-4244-1816-9
ISSN: 0885-8985
DOI: 10.1109/MAES.2010.5525319
Source: IEEE Aerospace and Electronic Systems Magazine [ISSN 0885-8985], v. 25 (6) (5525319), p. 35-42
Appears in Collections:Artículos
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