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What is Font-Independent Urdu Text Recognition about?

This document introduces a large scale dataset and convolutional neural network model for font independent Urdu text recognition from images. The dataset contains over 4 million synthetically generated images of the complete Urdu lexicon (18,569 ligatures) in 256 different fonts. The CNN model is trained on this dataset and can recognize Urdu text with 84.2% accuracy, including fonts not seen during training. This work addresses the challenges of Urdu text recognition from variations in font, style and intr

Author

Google Outbox

Language

EN