Writer identification by handwritten text analysis
Carlos F. Romero, Carlos M. Travieso, Jesús B. Alonso, Miguel A. Ferrer · 2006
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.