Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/44014
Title: Using calligraphies features for off line writer identification
Authors: Vásquez, José L.
Travieso, Carlos M. 
Alonso, Jesús B. 
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Writing , Feature extraction , Training , Forensics , Databases , Support vector machines , Educational institutions, Writer Identification , Off-line Handwriting , Graphology Techniques , SVM , Biometrics , Patter Recognition
Issue Date: 2013
Publisher: 1071-6572
Journal: Proceedings - International Carnahan Conference on Security Technology 
Conference: 2013 47th International Carnahan Conference on Security Technology, ICCST 2013 
Abstract: This work proposes an off-line writer identification approach based on graphometrical and forensic features. We selected a set of features with independence of the text and some stability degree to natural changes in the writing. The system uses the LS-SVM classifier with RBF kernel, reaching up to 99.1% of success rate for an own database composed by 100 users with 10 samples per each one
URI: http://hdl.handle.net/10553/44014
ISBN: 9781479908899
ISSN: 1071-6572
DOI: 10.1109/CCST.2013.6922062
Source: Proceedings - International Carnahan Conference on Security Technology[ISSN 1071-6572] (6922062)
Appears in Collections:Actas de congresos
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