Degraded character recognition based on gradient pattern
D. R. Ramesh Babu, M. Ravishankar, Manish Kumar, Kevin Wadera, Aakash Raj · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2010
Degraded character recognition is a challenging problem in the field of Optical Character Recognition (OCR). The performance of an optical character recognition depends upon printed quality of the input documents. Many OCRs have been designed which correctly identifies the fine printed documents. But, very few reported work has been found on the recognition of the degraded documents. The efficiency of the OCRs system decreases if the input image is degraded. In this paper, a novel approach based on gradient pattern for recognizing degraded printed character is proposed. The approach makes use of gradient pattern of an individual character for recognition. Experiments were conducted on character image that is either digitally written or a degraded character extracted from historical documents and the results are found to be satisfactory.