Presentation 2001/12/14
Character Extraction and Recognition for Low-Resolution Color Images using Dominant-Color-based-Line-Segment Method
Masahiko HAMANAKA,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) A new extraction and recognition method for low-resolution characters in complex color images has been proposed. This method generates contributivity images with region segmentation based on extracted dominant colors and recognizes characters in the multi-scale contributivity images. The contributivity images are generated using Dominant-Color-based-Line-Segment Method which decides pixel values based on contributions of dominant colors to the pixel colors by calculating distances between the pixel colors and line-segments through pairs of dominant colors. Experiments using web images show that the proposed method has increased extraction rate from 77% to 97% and recognition rate from 62% to 85% as compared with a traditional method using k-means clustering and binary character recognition.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Character Recognition / Color Images / Region Segmentation / Contributivity / Multi-scale
Paper # PRMU2001-191
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Conference Information
Committee PRMU
Conference Date 2001/12/14(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) Character Extraction and Recognition for Low-Resolution Color Images using Dominant-Color-based-Line-Segment Method
Sub Title (in English)
Keyword(1) Character Recognition
Keyword(2) Color Images
Keyword(3) Region Segmentation
Keyword(4) Contributivity
Keyword(5) Multi-scale
1st Author's Name Masahiko HAMANAKA
1st Author's Affiliation Multimedia Res.Labs., NEC Corporation()
Date 2001/12/14
Paper # PRMU2001-191
Volume (vol) vol.101
Number (no) 525
Page pp.pp.-
#Pages 8
Date of Issue