Presentation 2006-11-24
Color Classification using Quiet Zone Information for Color-Based Image Code Recognition(CV)
Cheolho Cheong, Dong-Chul Kim, Tack-Don Han,
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Abstract(in English) There are two types of image codes: those based on black and white patterns, and those based on colors. Color-based image code recognition is very difficult because the illumination, the devices, and the print materials all cause color variations. We propose a white-balance-based color classification algorithm that uses quiet zone information in the code. It can classify the various color information in the codes, due to varying illumination, devices, and print materials, to predefined color clusters, in real time. Experimental results show that this approach can achieve better classification outcomes when compared to other color-based image code recognition algorithm.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Image code / Paper User Interface (PUI) / Quiet zone / Color constancy / White balance
Paper # PRMU2006-139
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Conference Information
Committee PRMU
Conference Date 2006/11/17(1days)
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Registration To Pattern Recognition and Media Understanding (PRMU)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Color Classification using Quiet Zone Information for Color-Based Image Code Recognition(CV)
Sub Title (in English)
Keyword(1) Image code
Keyword(2) Paper User Interface (PUI)
Keyword(3) Quiet zone
Keyword(4) Color constancy
Keyword(5) White balance
1st Author's Name Cheolho Cheong
1st Author's Affiliation Department of Computer Science, Yonsei University()
2nd Author's Name Dong-Chul Kim
2nd Author's Affiliation Department of Computer Science, Yonsei University
3rd Author's Name Tack-Don Han
3rd Author's Affiliation Department of Computer Science, Yonsei University
Date 2006-11-24
Paper # PRMU2006-139
Volume (vol) vol.106
Number (no) 376
Page pp.pp.-
#Pages 6
Date of Issue