National Conference on Advancement of Technologies – Information Systems and Computer Networks |
Foundation of Computer Science USA |
ISCON - Number 1 |
May 2012 |
Authors: R. C. Tripathi, Vijay Kumar |
ec975262-d4ae-4298-85f4-37c584c8b1f2 |
R. C. Tripathi, Vijay Kumar . Character Recognition: A Neural Network Approach. National Conference on Advancement of Technologies – Information Systems and Computer Networks. ISCON, 1 (May 2012), 17-20.
OCR is the acronym for Optical Character Recognition. This technology allows a machine to automatically recognize characters through as optical mechanism. Human Beings "recognize" many objects in this manner; our eyes are the "optical mechanism. " But while the brain "sees" the input, the ability to comprehend these signals varies in each person according to many factors. In same manner "characters" which are nothing but the images made by the different combinations of lines and curves are also optically recognized by our brain. By reviewing these variables, the challenges faced by the technologist developing an OCR system. Character recognition techniques help in recognizing the characters written on paper documents and converting it in digital form. So Character recognition is gaining interest and importance in the modern world. While the area of character recognition is vast we focus on the fundamentals of character recognition, available techniques and emphasis on more recently used technique, neural networks. The paper throws light on, one of the application of Neural Network (NN) i. e. Character Recognition.