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Proceedings Paper

Obliterable of graphics and correction of skew using Hough transform for mobile captured documents
Author(s): H. K. Chethan; G. Hemantha Kumar
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Paper Abstract

CBDA is an emerging field in Computer Vision and Pattern Recognition. In recent technology camera are incorporated to several electronic equipments and are very interesting and thus playing a vital role by replacing scanner with hand held imaging devices like Digital Cameras, Mobile phones and gaming devices attached with these camera. The goal of the work is to remove graphics from the document which plays a vital role in recognition of characters from the mobile captured documents. In this paper we have proposed a novel method for separating or removal of graphics like logos, animations other than the text from the document and method to reduce noise and finally textual content skew is estimated and corrected using Hough Transform. The experimental results show the efficacy compared to the result of well known existing methods.

Paper Details

Date Published: 30 September 2011
PDF: 8 pages
Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 82851Y (30 September 2011); doi: 10.1117/12.913472
Show Author Affiliations
H. K. Chethan, Univ. of Mysore (India)
G. Hemantha Kumar, Univ. of Mysore (India)


Published in SPIE Proceedings Vol. 8285:
International Conference on Graphic and Image Processing (ICGIP 2011)
Yi Xie; Yanjun Zheng, Editor(s)

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