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Proceedings Paper

Block adaptive binarization of business card images in PDA using modified quadratic filter
Author(s): Ki Taeg Shin; Ick Hoon Jang; Nam Chul Kim; Chong Heun Kim; Tae Sik Kim
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Paper Abstract

In this paper, we propose a block adaptive binarization (BAB) using a modified quadratic filter (MQF) to binarize business card images of ill conditions acquired by personal digital assistant (PDA) cameras. In the proposed method, a business card image is first partitioned into blocks of 8×8 and the blocks are then classified into character blocks (CBs) and background blocks (BBs) for locally adaptive processing. Each CB is windowed with 24×24 rectangular window centering around the CB and the windowed blocks are improved by the preprocessing filter MQF, in which the scheme of threshold selection in QF is modified. The 8×8 center block of the improved block is binarized with the threshold. A binary image is obtained tiling each binarized block in its original position. Experimental results show that the quality of binary images obtained by the proposed method is much better than that by the conventional global binarization (GB) using QF. In addition, the proposed method yields about 43% improvement of character recognition rate over the GB using QF.

Paper Details

Date Published: 15 December 2003
PDF: 10 pages
Proc. SPIE 5296, Document Recognition and Retrieval XI, (15 December 2003); doi: 10.1117/12.526735
Show Author Affiliations
Ki Taeg Shin, Kyungpook National Univ. (South Korea)
Ick Hoon Jang, Kyungwoon Univ. (South Korea)
Nam Chul Kim, Kyungpook National Univ. (South Korea)
Chong Heun Kim, Kyungpook National Univ. (South Korea)
Tae Sik Kim, Kyungpook National Univ. (South Korea)


Published in SPIE Proceedings Vol. 5296:
Document Recognition and Retrieval XI
Elisa H. Barney Smith; Jianying Hu; James Allan, Editor(s)

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