A study on usual styles of Farsi online handwriting in order to recognition

Knowledge of the styles of writing letters in the word is necessary in recognition of online (or offline) handwriting. In this paper, we have chosen Tarbiat Modarres University (TMU) dataset which includes about 10,000 samples from the 1000 Farsi useful subwords. Different grouping based on the main body and the small signs of the subwords have been introduced. Diverse styles of Farsi handwriting were investigated and the most important forms of letters writing were found. Then, the subwords were classified according to their styles. Frequency of letters that are written in different forms was discussed and analyzed. The results showed effective improvement in recognition rate using grouping based on the writing styles of letters.