Share Email Print
cover

Proceedings Paper

Online Farsi digit recognition using their upper half structure
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper 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.

Paper Details

Date Published: 4 March 2015
PDF: 6 pages
Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 94430B (4 March 2015); doi: 10.1117/12.2179102
Show Author Affiliations
Vahid Ghods, Islamic Azad Univ. (Iran, Islamic Republic of)
Mohammad Karim Sohrabi, Islamic Azad Univ. (Iran, Islamic Republic of)


Published in SPIE Proceedings Vol. 9443:
Sixth International Conference on Graphic and Image Processing (ICGIP 2014)
Yulin Wang; Xudong Jiang; David Zhang, Editor(s)

© SPIE. Terms of Use
Back to Top