Off line writer identification based on graphometric parameters

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 modu...

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Bibliographic Details
Main Authors: Vasquez, Jose L., Travieso, Carlos M., Alonso, Jesus B.
Format: Conference Proceeding
Language:English
Subjects:
Artificial neural networks
Biological neural networks
Biometrics
Conferences
Educational institutions
Graphology Techniques
Neurons
Off-line Handwriting
Patter Recognition
Writer identification
Writing
Online Access:Request full text
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Summary: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.
ISSN:1543-9259
2767-9462
DOI:10.1109/INES.2013.6632815