Online Farsi digit recognition using their upper half structure

Vahid Ghods; Mohammad Karim Sohrabi

doi:10.1117/12.2179102

4 March 2015 Online Farsi digit recognition using their upper half structure

Vahid Ghods, Mohammad Karim Sohrabi

Proceedings Volume 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014); 94430B (2015) https://doi.org/10.1117/12.2179102
Event: Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 2014, Beijing, China

Abstract

In this paper, we investigated the efficiency of upper half Farsi numerical digit structure. In other words, half of data (upper half of the digit shapes) was exploited for the recognition of Farsi numerical digits. This method can be used for both offline and online recognition. Half of data is more effective in speed process, data transfer and in this application accuracy. Hidden Markov model (HMM) was used to classify online Farsi digits. Evaluation was performed by TMU dataset. This dataset contains more than 1200 samples of online handwritten Farsi digits. The proposed method yielded more accuracy in recognition rate.

Citation Download Citation

Vahid Ghods and Mohammad Karim Sohrabi "Online Farsi digit recognition using their upper half structure", Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 94430B (4 March 2015); https://doi.org/10.1117/12.2179102

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