A Lexicon Based System with Multiple HMMs to Recognise Typewritten and Handwritten Arabic Words
M. S. Khorsheed · 2004
ABSTRACT. A new method to recognise words in Arabic handwritten manuscript is presented. The method injects the spectral features extracted from an input word image to a group of previously trained word models. Each word model is a single hidden Markov model. The likelihood probability of the input pattern is calculated against each model and the pattern is assigned to the model with the highest probability. The corpus includes sophisticated computer-generated fonts and handwritten scripts. Recognition results of the proposed method are compared to that output by a template-based system. 1.