Block adaptive binarization of business card images in PDA using modified quadratic filter
In: Document recognition and retrieval XI (San Jose CA, 21-22 January 2004)SPIE proceedings series 5296:92-101
Konferenz
- print; 10; 11 ref
Zugriff:
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 8x8 and the blocks are then classified into character blocks (CBs) and background blocks (BBs) for locally adaptive processing. Each CB is windowed with 24x24 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 8x8 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.
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Block adaptive binarization of business card images in PDA using modified quadratic filter
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Autor/in / Beteiligte Person: | KI TAEG, SHIN ; ICK HOON, JANG ; NAM CHUL, KIM ; CHONG HEUN, KIM ; TAE SIK, KIM ; Barney Smith, Elisa H ; Hu, Jianying ; Allan, James ; Document recognition and retrieval. Conference(11 ; San Jose CA, ; 2003-01-21) ; International Society for Optical Engineering |
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Quelle: | Document recognition and retrieval XI (San Jose CA, 21-22 January 2004)SPIE proceedings series 5296:92-101 |
Veröffentlichung: | Bellingham WA: SPIE, 2004 |
Medientyp: | Konferenz |
Umfang: | print; 10; 11 ref |
ISBN: | 978-0-8194-5199-6 (print) ; 0-8194-5199-1 (print) |
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