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CNN based Optical Character Recognition for Devanagari Script

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Devanagari-OCR

Presented a paper titled ‘Performance Analysis of the Classifiers for Optical Character Recognition’ at the Third International Conference on Intelligent Computing and Control Systems (ICICCS 2019) Used the data of images of all the handwritten Devanagari Characters to build a classifier for script characters into the 44 classes.

Core Algorithms are yet to be uploaded considering instructions from journals.

The project was made in colaboration with https://github.com/vivanks. Refer the repo https://github.com/vivanks/OCR-For-Devanagari-With-CNN for Technical Details.

Accuracy Obtained: 98.30

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CNN based Optical Character Recognition for Devanagari Script

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