A SVM based character recognition system

Character recognition is an art of detecting and recognizing both alphabets and numbers from input images thereby making tremendous advancements in automation process. There are many methods available for character recognition namely OCR by matrix matching, fuzzy logic etc. In this paper, concepts of machine learning are used to develop an efficient algorithm for character recognition. Different feature extraction techniques are designed so as to train the character recognition network. The proposed classifier yields high accuracy than the existing techniques and can be used in high accuracy end to end system.