Paper Details: Downloads: 685
Serial Number: P1151023081
Title: Handwritten Amazigh Character Recognition Based On Hidden Markov Models
Authors: M. Amrouch and A. Rachidi and M. El Yassa and D. Mammass
Abstract: In this article we describe a simple, global approach to the recognition of handwritten Amazigh characters. The method used is based on Hidden Markov Models. The input provided to our system is a vector of features extracted directly from an image of Amazigh characters. This vector is translated into sequence of observations that is used for the learning phase. This task involves several of processing steps, typically, pre-processing and feature extraction. Finally the class of the input characters is determined by the Forword classifier. The obtained results are promising.
Keywords: Handwritten Amazigh characters, Hidden Markov Models, Hough Transformation.
Journal/Conference: International Journal of Graphics, Vision and Image Processing
Volume: 10
Issue: 5
Submission Date: 5/31/2010 12:00:00 AM
Review Date: 10/20/2010 12:00:00 AM
Publishing Date: 11/3/2010 12:00:00 AM
Article Downloads: 685
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