Presentation | 2006-02-23 A Coupon Classification Method Based on Adaptive Image Vector Matching Takeshi NAGASAKI, Katsumi MARUKAWA, Tatsuhiko Kagehiro, Hiroshi SAKO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper describes a coupon classification system based on image vector matching. This method features following two points. (1) Extract a feature vector from a gray-scale image using a feature map which is derived from training coupon images. (2) Classify a coupon image by adaptive mask distance to cope with the recognition difficulty such as partial cutting of coupon and putting stamp on it. We have implemented this method and experimented with collected samples. This method achieved 100% of recognition rates, processing speed 11.76msec/sheet to 969 images for 42 kinds of coupon samples. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Coupon Classification / Feature Map / Adaptive mask distance |
Paper # | TL2005-52,PRMU2005-187 |
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Committee | PRMU |
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Conference Date | 2006/2/16(1days) |
Place (in Japanese) | (See Japanese page) |
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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) | A Coupon Classification Method Based on Adaptive Image Vector Matching |
Sub Title (in English) | |
Keyword(1) | Coupon Classification |
Keyword(2) | Feature Map |
Keyword(3) | Adaptive mask distance |
1st Author's Name | Takeshi NAGASAKI |
1st Author's Affiliation | Hitachi, Ltd., Central Research Laboratory() |
2nd Author's Name | Katsumi MARUKAWA |
2nd Author's Affiliation | Hitachi, Ltd., Central Research Laboratory |
3rd Author's Name | Tatsuhiko Kagehiro |
3rd Author's Affiliation | Hitachi, Ltd., Central Research Laboratory |
4th Author's Name | Hiroshi SAKO |
4th Author's Affiliation | Hitachi, Ltd., Central Research Laboratory |
Date | 2006-02-23 |
Paper # | TL2005-52,PRMU2005-187 |
Volume (vol) | vol.105 |
Number (no) | 614 |
Page | pp.pp.- |
#Pages | 6 |
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