An Approach of Hidden Markov Model for Offline Yor`ub´a Handwritten Word Recognition

This paper presents a Hidden Markov Model-based recognition system for Yoruba handwritten words (HMM). Data acquisition, preprocessing, feature extraction, and classification are the four stages of the work. Data were collected from adult indigenous writers, and the scanned images were

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