According to the authors of a study from Tehran, Iran, "The behavioral-biometrics methods of writer identification and verification have been considered as a research topic for many years. However, many writer identification and verification methods have been designed based on English handwriting properties, but because of many differences between English and Persian handwriting and the challenges facing Persian handwriting analysis, designing such methods has many interests in Persian yet."
"In this paper, we have presented a fully text-independent and texture based method for identifying writers of Persian handwritten documents. As a result of special properties of Persian handwriting, a modified version of Gabor filter that is called Extended Gabor (XGabor) filter has been used to extract the features. An MLP (Multi Layer Perceptron (Node)) neural network and a K-NN classifier have been employed to classify the extracted features. In the evaluation phase, an exhaustive database of Persian handwritten documents was prepared and the method applied on. The experimental results showed that the accuracy of proposed method is about 97% and it is competitive with others," wrote B. Helli and colleagues.
The researchers concluded: "We believe that the proposed method may be extended to identify writers in other languages by adjusting some parameters."
Helli and colleagues published their study in International Journal on Artificial Intelligence Tools (An Off-line Text-independent Persian Writer Identification Method. International Journal on Artificial Intelligence Tools, 2011;20(3):489-509).
For more information, contact B. Helli, Shahid Beheshti University G C, Electrical & Computational Engineering Department, Tehran, IRAN.
Publisher contact information for the International Journal on Artificial Intelligence Tools is: World Scientific Publ Co. Pte Ltd., 5 Toh Tuck Link, Singapore 596224, Singapore.
Keywords: City:Tehran, Country:Iran, Region:Asia, Machine Learning, Emerging Technologies
This article was prepared by Internet Networks & Communications editors from staff and other reports. Copyright 2011, Internet Networks & Communications via VerticalNews.com.
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