Presentation 2001/3/16
Extraction of Character Strings from Scene Image Based on Feature of Color Contrast
Kenji MURAYAMA, Yoshihiro OKADA,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper, we propose extraction method of character strings from scene image based on feature of color contrast. To understand condition in scene, characters in scene image are the most important information. Especially, important words are intensified by color scheme compared to other words. This effect is said "color contrast". Therefore we use the feature of color contrast to extract important words. Experimental results show that regions which have strong feature of color contrast intend to include important words. And the results show that character strings in scene image are able to extract these regions.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Extraction of Character String / Color Contrast / Scene Image
Paper # PRMU2000-227
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Conference Information
Committee PRMU
Conference Date 2001/3/16(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) Extraction of Character Strings from Scene Image Based on Feature of Color Contrast
Sub Title (in English)
Keyword(1) Extraction of Character String
Keyword(2) Color Contrast
Keyword(3) Scene Image
1st Author's Name Kenji MURAYAMA
1st Author's Affiliation Graduate School of Science and Technology, Ryukoku University()
2nd Author's Name Yoshihiro OKADA
2nd Author's Affiliation Graduate School of Science and Technology, Ryukoku University
Date 2001/3/16
Paper # PRMU2000-227
Volume (vol) vol.100
Number (no) 702
Page pp.pp.-
#Pages 6
Date of Issue