The document discusses a system for optical character recognition (OCR) utilizing a radial basis function neural network (RBFNN) that processes digital images to convert text into editable formats. It details the various stages of OCR, including pre-processing, segmentation, feature extraction, and classification, highlighting that the system achieves an accuracy of approximately 88%. The study contributes to advancements in character recognition technologies and emphasizes potential applications such as converting handwritten documents and aiding individuals with visual impairments.