• Corpus ID: 17520563

Application of Support Vector Machines for Recognition of Handwritten Arabic/Persian Digits

@inproceedings{Sadri2003ApplicationOS,
  title={Application of Support Vector Machines for Recognition of Handwritten Arabic/Persian Digits},
  author={Javad Sadri and Ching Yee Suen and Tien D. Bui},
  year={2003}
}
A new method for recognition of isolated handwritten Arabic/Persian digits is presented. This method is based on Support Vector Machines (SVMs), and a new approach of feature extraction. Each digit is considered from four different views, and from each view 16 features are extracted and combined to obtain 64 features. Using these features, multiple SVM classifiers are trained to separate different classes of digits. CENPARMI Indian (Arabic/Persian) handwritten digit database is used for… 
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93 Citations
Highly Influential Citations
11
Background Citations
42
Methods Citations
33
Results Citations
2

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93 Citations

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