Recognition of Myanmar Handwriting Text Based on Hidden Markov Model

Handwriting recognition is one of the most challenging tasks and exciting areas of research in computer vision. Numerous document recognition methods have been proposed in various languages and character set such as Arabic, India, Korean, Japanese, Chinese and so on. This paper presents the recent result of the research work of Myanmar handwriting text recognition and translation. Each segmented character of handwriting text is not only recognized but also transform to Myanmar printed character and multiple languages. The technology is successfully used by business which process lots of handwritten documents, like insurance companies. The quality of recognition can be substantially increased by structuring the document. Keyword: Myanmar printed character, Handwriting text, Natural Handwritten Recognition, OCR