This document summarizes research on intelligent character recognition of handwritten characters using neural networks. It discusses how neural networks can be trained on feature vectors extracted from images to accurately recognize (up to 95%) handwritten alphanumeric characters. The proposed system segments images into characters, extracts features like intersections and endpoints, trains a neural network on feature vectors, and then uses the trained network to recognize new characters. It achieved high accuracy after training on a large dataset of 400 samples. The system automatically transfers recognized text to an Excel sheet.