A Coupon Classification Method Based on Adaptive Image Vector Matching

Author

Nagasaki, Takeshi ; Marukawa, Katsumi ; Kagehiro, Tatsuhiko ; Sako, Hiroshi

Author_Institution

Central Res. Lab., Hitachi Ltd., Tokyo

Volume

3

fYear

0

fDate

0-0 0

Firstpage

280

Lastpage

283

Abstract

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

Keywords

feature extraction; image classification; image matching; vectors; adaptive image vector matching; coupon classification method; coupon images; feature vector extraction; gray-scale images; Background noise; Character recognition; Costs; Dictionaries; Feature extraction; Gray-scale; Image recognition; Laboratories; Optical character recognition software; Robustness;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2006. ICPR 2006. 18th International Conference on

Conference_Location

Hong Kong

ISSN

1051-4651

Print_ISBN

0-7695-2521-0

Type

conf

DOI

10.1109/ICPR.2006.58

Filename

1699520