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 |
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Conference Date | 2001/12/14(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Pattern Recognition and Media Understanding (PRMU) |
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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 |