Title :
Off line writer identification based on graphometric parameters
Author :
Vasquez, Jose Luis ; Travieso, Carlos M. ; Alonso, Jesus B.
Author_Institution :
Dept. of Comput. Sci., Univ. of Costa Rica, Cartago, Costa Rica
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.
Keywords :
digital forensics; handwriting recognition; neural nets; artificial neural network; classifier; decision fusion module; forensic feature; graphometric parameter; handwriting recognition; off line writer identification; Artificial neural networks; Biological neural networks; Conferences; Databases; Educational institutions; Neurons; Writing; Artificial Neural Networks; Biometrics; Graphology Techniques; Off-line Handwriting; Patter Recognition; Writer identification;
Conference_Titel :
Intelligent Engineering Systems (INES), 2013 IEEE 17th International Conference on
Conference_Location :
San Jose
Print_ISBN :
978-1-4799-0828-8
DOI :
10.1109/INES.2013.6632815
