Presentation 2013-02-18
Character Extraction from Color Document Images With Complex Background
Hiroyuki TOKUCHI, Yousuke IWAMI, Junji MAEDA,
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Abstract(in English) The purpose of this research is to extract the characters from color document images with complex background such as journal covers by using segmentation and binarization techniques. We propose an improved algorithm of segmentation based on region growing so that the segmentation result cannot receive bad influences from color gradation. We also propose an algorithm of binarization that is composed of edge feature, stroke width transform, and connected component analysis. To demonstrate the effectiveness of the proposed method, we perform the comparative experiments in comparison with the other methods using the quantitative evaluation with ground truth.
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Keyword(in English) Color document images / segmentation / binarization / character extraction / stroke width transform / connected component analysis
Paper # ITS2012-30,IE2012-110
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Committee IE
Conference Date 2013/2/11(1days)
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Registration To Image Engineering (IE)
Language JPN
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Title (in English) Character Extraction from Color Document Images With Complex Background
Sub Title (in English)
Keyword(1) Color document images
Keyword(2) segmentation
Keyword(3) binarization
Keyword(4) character extraction
Keyword(5) stroke width transform
Keyword(6) connected component analysis
1st Author's Name Hiroyuki TOKUCHI
1st Author's Affiliation Division of Information and Electronic Engineering, Graduate School of Engineering, Muroran Institute of Technology()
2nd Author's Name Yousuke IWAMI
2nd Author's Affiliation Division of Information and Electronic Engineering, Graduate School of Engineering, Muroran Institute of Technology
3rd Author's Name Junji MAEDA
3rd Author's Affiliation Division of Information and Electronic Engineering, Graduate School of Engineering, Muroran Institute of Technology
Date 2013-02-18
Paper # ITS2012-30,IE2012-110
Volume (vol) vol.112
Number (no) 434
Page pp.pp.-
#Pages 6
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