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 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.
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Keyword(in English) Coupon Classification / Feature Map / Adaptive mask distance
Paper # TL2005-52,PRMU2005-187
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Committee PRMU
Conference Date 2006/2/16(1days)
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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 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
Date of Issue