Electrical and Computer Engineering Department of Semnan University
Abstract
Word synthesis and generating Persian handwriting documents is an interesting topic and can help to improving the results in similar fields such as writer identification and Optical Character Recognition. In this paper we propose a new method to create automatic handwriting words based on previous author’s writing. For this propose at first some control points are defined on Persian characters. After that interpolation is used for connecting isolated characters. Different interpolationfunctions are used to creating natural handwriting based on different forms of characters connection and their locations.Mean opinion scores show that our synthesis words have about 80% similarity with writer handwriting documents.
Yaghmaee, F. (2017). Using Human Behavioral Habits for Persian Hand Writing Synthesis. Journal of Machine Vision and Image Processing, 4(1), 41-55.
MLA
Farzin Yaghmaee. "Using Human Behavioral Habits for Persian Hand Writing Synthesis". Journal of Machine Vision and Image Processing, 4, 1, 2017, 41-55.
HARVARD
Yaghmaee, F. (2017). 'Using Human Behavioral Habits for Persian Hand Writing Synthesis', Journal of Machine Vision and Image Processing, 4(1), pp. 41-55.
VANCOUVER
Yaghmaee, F. Using Human Behavioral Habits for Persian Hand Writing Synthesis. Journal of Machine Vision and Image Processing, 2017; 4(1): 41-55.
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