A Survey on Character Recognition

Character recognition techniques associate a symbolic identity with the image of character. Character recognition is commonly referred to as optical character recognition (OCR), as it deals with the recognition of optically processed characters. Handwriting recognition has been one of the most interesting and challenging research areas in the field of image processing and pattern recognition in the recent years. Offline handwritten text recognition is one of the most active areas of research in computer science and it is inherently difficult because of the high variability of writing styles. High recognition rates are achieved in character recognition and isolated word recognition, but we are still far from achieving high-performance recognition systems for unconstrained offline handwritten texts This survey paper describes the handwritten character recognition systems with four different phases like preprocessing, Feature Extraction, Classification and Post Processing.