/Devnagri-Character-Recognition

Predicting characters from the Devnagri script. Model built with test accuracy of 98.15% over 13,800 images.

Primary LanguagePureBasic

Devnagri-Character-Recognition

The dataset was created by extraction and manual annotation of thousands of characters from handwritten documents. Creator Name: Shailesh Acharya, Email: sailes437@gmail.com, Institution: University of North Texas, Cell: +19402200157 Creator Name: Prashnna Kumar Gyawali, Email: gyawali.prasanna@gmail.com, Institution: Rochester Institute of Technology Data Type: GrayScale Image

Visit the code here - Devnagri-Character-Recognition

The image dataset can be used to benchmark classification algorithm for OCR systems. The highest accuracy obtained in the Test set is 98.15%. Model Description is available in the paper. Image Format: .png Resolution: 32 by 32

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