Authors:
Carlos F. Romero
;
Carlos M. Travieso
;
Jesús B. Alonso
and
Miguel A. Ferrer
Affiliation:
University of Las Palmas de Gran Canaria, Spain
Keyword(s):
Biometric systems, Writer verification, Handwriting analysis, Neural networks, Pattern recognition.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Biometrics
;
Biometrics and Pattern Recognition
;
Multimedia
;
Multimedia Signal Processing
;
Pattern Recognition
;
Telecommunications
Abstract:
This paper shows a writer verification automatic system based on a set of graphometric characteristics extracted from handwritten words. That dataset has been tested with our off-line handwritten database, which consists of 110 writers with 10 samples per writer, where a sample is a dataset of 34 words. After our experiments, we have got a verification success rate of 95.63% and Equal Error Rate (EER) of 3.90% is achieved. For previous results, we have used as classifiers a Neural Network, for each writer.