wathmal/sinhala-ocr
A CNN using caffe to identify Sinhala characters
This project helps developers working with machine learning models for optical character recognition (OCR) of the Sinhala language. It provides a dataset of perfectly generated Sinhala character images and a pre-configured Convolutional Neural Network (CNN) based on LeNet, implemented in Caffe. Developers can use this to train and evaluate models for identifying Sinhala characters in images.
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Use this if you are a machine learning engineer or researcher building and testing models for Sinhala character recognition and need a clean dataset and a basic model architecture to start with.
Not ideal if you are looking for a ready-to-use OCR application to extract text from documents, as this project focuses on the foundational character identification model.
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Last pushed
Apr 24, 2023
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