A Comprehensive Survey On Soft Computing Based Optical Character Recognition Techniques
Character recognition has been one of the most interesting and challenging research areas in field of image processing and pattern recognition in the recent years. This paper describes the techniques for better character recognition in document into machine readable form. Several techniques like OCR using Feature extraction and OCR using neural networks are reviewed in this paper. Before going to future research work, analyze and update recognition techniques in detail which are implemented previously. The purpose of this paper is to discuss various algorithms, techniques, processes, and achieve direction towards research work to improve the problems faced by existing systems to get more recognition rate.