Language Specific Offline Character Recognition Using Neural Network Classifier
N. Meghana Preethi, T Gunasekaran · 2015
Abstract — Character recognition is one of the most fascinating and challenging researches currently in the area image processing. The area of character recognition has been receiving considerable attention due to its versatile range of real-time application which includes reading aid for the blind, postal automation, processing of cheque and digitization of historical documents. Nowadays different methodologies for different language are in widespread use for character recognition. The work carried out here mainly concentrates on the recognition accuracy of the language. The proposed scheme consists of 4 stages: preprocessing, segmentation, feature extraction and recognition. Preprocessing techniques resulting for better accuracy such as noise removal, gray scale conversion and binarization are employed to enhance the character before classification. The neural network classifier methodology is implemented to recognize the character. Index Terms — character recognition, feature extraction, preprocessing, neural network classifier I.