|Title:||Off line writer identification based on graphometric parameters||Authors:||Vasquez, Jose L.
Travieso, Carlos M.
Alonso, Jesus B.
|UNESCO Clasification:||3307 Tecnología electrónica||Keywords:||Biometrics, Patter Recognition, Artificial Neural Networks, Graphology Techniques, Off-line Handwriting, Writer identification||Issue Date:||2013||Journal:||INES 2013 - IEEE 17th International Conference on Intelligent Engineering Systems, Proceedings||Conference:||17th IEEE International Conference on Intelligent Engineering Systems, INES 2013||Abstract:||In this work is proposed a writer identification approach based on graphometrical and forensic features. The proposal replies to an off-line system, where the handwriting is provided before to perform the analysis. An Artificial Neural Network is used as classifier and after the decision fusion module, the system reaches up to 94.6% of success rate for a own database composed by 100 users with 10 samples per each one. © 2013 IEEE.||URI:||http://hdl.handle.net/10553/43997||ISBN:||9781479908288||DOI:||10.1109/INES.2013.6632815||Source:||INES 2013 - IEEE 17th International Conference on Intelligent Engineering Systems, Proceedings (6632815), p. 219-223|
|Appears in Collections:||Actas de congresos|
checked on Feb 28, 2021
checked on Mar 1, 2021
Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.