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A Coupon Classification Method Based on Adaptive Image Vector Matching
Hong Kong August 20-August 24
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.5818th International Conference on Patt ...
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Takeshi Nagasaki, Katsumi Marukawa, Tatsuhiko Kagehiro, Hiroshi Sako, "A Coupon Classification Method Based on Adaptive Image Vector Matching," Pattern Recognition, International Conference on, vol. 3, pp. 280-283, 18th International Conference on Pattern Recognition (ICPR'06) Volume 3, 2006.
 
 
BibTex
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@article{ 10.1109/ICPR.2006.58,
author = {Takeshi Nagasaki and Katsumi Marukawa and Tatsuhiko Kagehiro and Hiroshi Sako},
title = {A Coupon Classification Method Based on Adaptive Image Vector Matching},
journal ={Pattern Recognition, International Conference on},
volume = {3},
year = {2006},
issn = {1051-4651},
pages = {280-283},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.58},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - A Coupon Classification Method Based on Adaptive Image Vector Matching
SN - 1051-4651
SP280
EP283
A1 - Takeshi Nagasaki,
A1 - Katsumi Marukawa,
A1 - Tatsuhiko Kagehiro,
A1 - Hiroshi Sako,
PY - 2006
KW - null
VL - 3
JA - Pattern Recognition, International Conference on
ER -
 
Takeshi Nagasaki, Hitachi, Ltd., Central Research Laboratory, Japan
Katsumi Marukawa, Hitachi, Ltd., Central Research Laboratory, Japan
Tatsuhiko Kagehiro, Hitachi, Ltd., Central Research Laboratory, Japan
Hiroshi Sako, Hitachi, Ltd., Central Research Laboratory, Japan
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. It achieved 100% of recognition rates, processing speed 11.76msec/sheet to 969 images for 42 kinds of coupon samples.
Citation:
Takeshi Nagasaki, Katsumi Marukawa, Tatsuhiko Kagehiro, Hiroshi Sako, "A Coupon Classification Method Based on Adaptive Image Vector Matching," icpr, vol. 3, pp.280-283, 18th International Conference on Pattern Recognition (ICPR'06) Volume 3, 2006
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