The integration of handwriting recognition systems with word processing and other computer applications and systems can significantly enhance the efficiency of document generation and improve overall productivity in a business environment.Although the performance of handwriting recognition systems has increased substantially over the last decades, there still remain a number of tasks which pose considerable problems for current state-of-the-art techniques. One of these tasks is the recognition of cursive handwriting or handwriting of Chinese/thai languages. The HMM is one of the better solution for developing handwriting recognition systems and gives appropriate way using probabilistic models.
FULL PAPER LINK