Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/44073
Title: Handwriting knowledge based on parameterization for writer identification
Authors: Romero, Carlos F.
Travieso, Carlos M. 
Ferrer, Miguel A. 
Alonso, Jesús B. 
UNESCO Clasification: 3307 Tecnología electrónica
Issue Date: 2009
Publisher: 1876-1100
Journal: Lecture Notes in Electrical Engineering 
Conference: European Computing Conference 
Abstract: This present paper has worked out and implemented a set of geometrical characteristics from observation of handwriting. In particular, this work has developed a proportionality index together with other parameters applied to handwritten words, and they have been used for writer identification. That set of characteristics has been tested with our offline handwriting database, which consists of 40 writers with 10 samples per writer. We have got a success rate of 97%, applying a neural network as classifier.
URI: http://hdl.handle.net/10553/44073
ISBN: 9780387848136
ISSN: 1876-1100
DOI: 10.1007/978-0-387-84814-3_1
Source: Lecture Notes in Electrical Engineering[ISSN 1876-1100],v. 27 LNEE, p. 3-13
Appears in Collections:Actas de congresos
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