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Proceedings Paper

Degraded character recognition based on gradient pattern
Author(s): D. R. Ramesh Babu; M. Ravishankar; Manish Kumar; Kevin Wadera; Aakash Raj
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Paper Abstract

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 Experiments were conducted on character image that is either digitally written or a degraded character extracted from historical documents and the results are found to be satisfactory.

Paper Details

Date Published: 26 February 2010
PDF: 7 pages
Proc. SPIE 7546, Second International Conference on Digital Image Processing, 754605 (26 February 2010); doi: 10.1117/12.855555
Show Author Affiliations
D. R. Ramesh Babu, Dayananda Sagar College of Engineering (India)
M. Ravishankar, Dayananda Sagar College of Engineering (India)
Manish Kumar, Dayananda Sagar College of Engineering (India)
Kevin Wadera, Dayananda Sagar College of Engineering (India)
Aakash Raj, Dayananda Sagar College of Engineering (India)


Published in SPIE Proceedings Vol. 7546:
Second International Conference on Digital Image Processing
Kamaruzaman Jusoff; Yi Xie, Editor(s)

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