This document summarizes a paper on character recognition of Devanagari script using artificial neural networks. It discusses the challenges in recognizing handwritten Devanagari characters due to variations in writing style and speed. It presents the methodology used which includes data acquisition, preprocessing, segmentation, feature extraction and classification. In feature extraction, techniques like Gabor transform are used to extract features. A probabilistic neural network is then used for classification. The methodology achieved a recognition rate of 80% for handwritten Devanagari characters.