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Proceedings Paper

Generation of PDF with vector symbols from scanned document
Author(s): Ilya V. Kurilin; Ilia V. Safonov; Michael N. Rychagov; Hokeun Lee; Sang Ho Kim; Donchul Choi
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Paper Abstract

The paper is devoted to the algorithm for generation of PDF with vector symbols from scanned documents. The complex multi-stage technique includes segmentation of the document to text/drawing areas and background, conversion of symbols to lines and Bezier curves, storing compressed background and foreground. In the paper we concentrate on symbol conversion that comprises segmentation of symbol bodies with resolution enhancement, contour tracing and approximation. Presented method outperforms competitive solutions and secures the best compression rate/quality ratio. Scaling of initial document to other sizes as well as several printing/scanning-to-PDF iterations expose advantages of proposed way for handling with document images. Numerical vectorization quality metric was elaborated. The outcomes of OCR software and user opinion survey confirm high quality of proposed method.

Paper Details

Date Published: 4 February 2013
PDF: 15 pages
Proc. SPIE 8653, Image Quality and System Performance X, 86530R (4 February 2013); doi: 10.1117/12.2000527
Show Author Affiliations
Ilya V. Kurilin, Samsung Moscow Research Ctr. (Russian Federation)
Ilia V. Safonov, Samsung Moscow Research Ctr. (Russian Federation)
Michael N. Rychagov, Samsung Moscow Research Ctr. (Russian Federation)
Hokeun Lee, Samsung Electronics Co., Ltd. (Korea, Republic of)
Sang Ho Kim, Samsung Electronics Co., Ltd. (Korea, Republic of)
Donchul Choi, Samsung Electronics Co., Ltd. (Korea, Republic of)


Published in SPIE Proceedings Vol. 8653:
Image Quality and System Performance X
Peter D. Burns; Sophie Triantaphillidou, Editor(s)

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