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This document describes a neural network approach for high accuracy optical character recognition (OCR) of multi-size and multi-font characters. It consists of two parts: 1) A two-layer neural network is trained to recognize single-size, single-font characters with high accuracy. 2) A larger two-layer neural network is trained to recognize characters across multiple point sizes and fonts, trading some accuracy for broader capabilities. The neural networks are trained using a novel centroid-dithering method

Author

Muhammed Ajeer

Language

EN