Arabic-Farsi handwritten digit recognition using histogram of oriented gradient and chain code histogram
Joint Authors
Khorashadizadeh, Said
Latif, Ali
Source
The International Arab Journal of Information Technology
Issue
Vol. 13, Issue 4 (31 Jul. 2016)8 p.
Publisher
Publication Date
2016-07-31
Country of Publication
Jordan
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
The aim of this paper is to propose a novel technique for Arabic/Farsi handwritten digit recognition.
We constructed an invariant and efficient feature set by combination of four directional Chain Code Histogram (CCH) and Histogram of Oriented Gradient (HOG).
To achieve higher recognition rate, we extracted local features at two levels with grids 2 × 2, 1× 1 and it causes a partial overlapping of zones.
Our proposed feature set has 164 dimensions.
For classification phase, Support Vector Machine (SVM) with radial basis function kernel was used.
The system was evaluated on HODA handwritten digit dataset which consist of 60000 and 20000 training and test samples, respectively.
The experimental results represent 99.31 % classification rate.
Further, 5-fold cross validation was applied on whole 80000 samples and 99.58 % accuracy was obtained.
American Psychological Association (APA)
Khorashadizadeh, Said& Latif, Ali. 2016. Arabic-Farsi handwritten digit recognition using histogram of oriented gradient and chain code histogram. The International Arab Journal of Information Technology،Vol. 13, no. 4.
https://search.emarefa.net/detail/BIM-655062
Modern Language Association (MLA)
Khorashadizadeh, Said& Latif, Ali. Arabic-Farsi handwritten digit recognition using histogram of oriented gradient and chain code histogram. The International Arab Journal of Information Technology Vol. 13, no. 4 (Jul. 2016).
https://search.emarefa.net/detail/BIM-655062
American Medical Association (AMA)
Khorashadizadeh, Said& Latif, Ali. Arabic-Farsi handwritten digit recognition using histogram of oriented gradient and chain code histogram. The International Arab Journal of Information Technology. 2016. Vol. 13, no. 4.
https://search.emarefa.net/detail/BIM-655062
Data Type
Journal Articles
Language
English
Notes
Includes appendices.
Record ID
BIM-655062