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Using Box Approach in Persian Handwritten Digits Recognition

International Journal of Computer Applications
© 2011 by IJCA Journal
Number 1 - Article 1
Year of Publication: 2011
Omid Rashnodi
Hedieh Sajedi
Mohammad Saniee Abadeh

Omid Rashnodi, Hedieh Sajedi and Mohammad Saniee Abadeh. Article: Using Box Approach in Persian Handwritten Digits Recognition. International Journal of Computer Applications 32(3):1-8, October 2011. Full text available. BibTeX

	author = {Omid Rashnodi and Hedieh Sajedi and Mohammad Saniee Abadeh},
	title = {Article: Using Box Approach in Persian Handwritten Digits Recognition},
	journal = {International Journal of Computer Applications},
	year = {2011},
	volume = {32},
	number = {3},
	pages = {1-8},
	month = {October},
	note = {Full text available}


In this paper, appropriate feature set based on the box approach has been proposed to achieve higher recognition accuracy and decreasing the recognition time of Persian numerals. In classification phase, support vector machine (SVM) with linear kernel has been employed as the classifier. Feature sets consists of 163 dimensions, which are the average angle and distance pixels which are equal to one in each box the box approach. The scheme has been evaluated on 60,000 handwritten samples of Persian numerals. Using 60,000 samples for training, scheme was tested on other 20,000 samples and 98.945% correct recognition rate was obtained.


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