Writer identification by handwritten text analysis

Authors:
Carlos F. Romero;Carlos M. Travieso;Jesús B. Alonso;Miguel A. Ferrer
Affiliations:
Departamento de Señales y Comunicaciones, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain;Departamento de Señales y Comunicaciones, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain;Departamento de Señales y Comunicaciones, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain;Departamento de Señales y Comunicaciones, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
Venue:
ICOSSE'06 Proceedings of the 5th WSEAS international conference on System science and simulation in engineering
Year:
2006

Citing 4
Cited 1

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ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
A set of novel features for writer identification

AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication

The current state of art: handwriting a behavioral biometric for person identification and verification

Proceedings of the International Conference on Advances in Computing, Communications and Informatics

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Abstract

This work has calculated and implemented some methods used by professional person on forensic analysis, for test on dubitative documents. This system obtains different types of characteristics and they are tested with known samples from our database. It has been used writing samples from 30 writers, and we have got a success rate of 94, 66%, applying as classifier Neural Network, and after, the technique of "more voted" algorithm, with 10 Neural Networks.