Presentation 2007-10-26
A Study on Optimal Binarization and Distortion-Tolerant Recognition of Color Characters in Scene Images
Minoru YOKOBAYASHI, Toru WAKAHARA,
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Abstract(in English) The proposed method of optimal binarization of color characters in scene images is based on selection of one optimal projection axis in the RGB color space using Otsu's criterion and decision between figure and background using the black-white ratio along the image periphery and common characteristics of characters. Regarding distortion-tolerant recognition of binarized characters we compare our global affine transformation (GAT) correlation method against the well-known tangent distance. Experiments are made on a total of 698 character images extracted from the ICDAR 2003 robust OCR dataset, and we discuss the state-of-the-art and remaining problems. Also, against rotation ranging from -45 degrees to +45 degrees as applied to template images the GAT correlation method is found to be much robuster than the tangent distance.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Optimal Binarization / Otsu's Criterion / Distortion-Tolerant Matching / Tangent Distance / GAT Correlation
Paper # PRMU2007-110
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Conference Information
Committee PRMU
Conference Date 2007/10/18(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study on Optimal Binarization and Distortion-Tolerant Recognition of Color Characters in Scene Images
Sub Title (in English)
Keyword(1) Optimal Binarization
Keyword(2) Otsu's Criterion
Keyword(3) Distortion-Tolerant Matching
Keyword(4) Tangent Distance
Keyword(5) GAT Correlation
1st Author's Name Minoru YOKOBAYASHI
1st Author's Affiliation Graduate School of Computer and Information Sciences, Hosei University()
2nd Author's Name Toru WAKAHARA
2nd Author's Affiliation Graduate School of Computer and Information Sciences, Hosei University
Date 2007-10-26
Paper # PRMU2007-110
Volume (vol) vol.107
Number (no) 281
Page pp.pp.-
#Pages 6
Date of Issue