Proceedings of the International Conference on Advances in Computing, Communications and Informatics
Offline text-independent writer identification using codebook and efficient code extraction methods
Image and Vision Computing
A Persian writer identification method using swarm-based feature selection approach
International Journal of Biometrics
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This paper proposes, an efficient method for text independent writer identification using a codebook. The occurrence histogram of the shapes in the codebook is used to create a feature vector for the handwriting. There is a wide variety of different shapes in the connected components obtained from handwriting. Small fragments of connected components should be used to avoid complex patterns. A new and more efficient method is introduced for this purpose. To evaluate the methods, writer identification is conducted on three varieties of a Farsi database. These varieties include texts of short, medium and large lengths. Experimental results show the efficiency of the method especially for short texts.