Color recognition by extended color space method for 64-color 2-D barcode

Takuma Shimizu, Mariko Isami, Kenji Terada, Wataru Oyama, Tetsushi Wakabayashi, Fumitaka Kimura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

Colorizing two-dimensional (2-D) barcodes is a promising modality for improvement on design and data capacity. The number of colors employed in recent 2-D color barcodes is limited less than 8. To increase the number of recognizable colors, we propose a color recognition method which classifies 64 colors, using an extended color space and pattern recognition techniques. The proposed method employs 4 seed colors embedded within 64-color code to prevent influences from environment illumination. In the proposed method, we extend the color representation for each code color in 2-D barcode from three components to higher number component. And a classifier is trained using the extended colors captured from several environmental lighting conditions. The classifier is selectable. In this paper, artificial neural network (ANN), support vector machine (SVM) and nearest neighbor (NN) are employed as the classifier. The experimental results shows that the proposed method achieves MSER less than 3.0%. Comparing the number of seed colors, 4 seed color is comparable to that using 8 seed color. SVM achieves the best recognition performance of 1.17% SER. These results suggest that 64-color recognition is possible by the proposed method.

Original languageEnglish
Title of host publicationProceedings of the 12th IAPR Conference on Machine Vision Applications, MVA 2011
Pages259-262
Number of pages4
Publication statusPublished - Dec 1 2011
Externally publishedYes
Event12th IAPR Conference on Machine Vision Applications, MVA 2011 - Nara, Japan
Duration: Jun 13 2011Jun 15 2011

Other

Other12th IAPR Conference on Machine Vision Applications, MVA 2011
CountryJapan
CityNara
Period6/13/116/15/11

Fingerprint

Color
Seed
Color codes
Classifiers
Support vector machines
Lighting
Pattern recognition
Neural networks

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

Cite this

Shimizu, T., Isami, M., Terada, K., Oyama, W., Wakabayashi, T., & Kimura, F. (2011). Color recognition by extended color space method for 64-color 2-D barcode. In Proceedings of the 12th IAPR Conference on Machine Vision Applications, MVA 2011 (pp. 259-262)

Color recognition by extended color space method for 64-color 2-D barcode. / Shimizu, Takuma; Isami, Mariko; Terada, Kenji; Oyama, Wataru; Wakabayashi, Tetsushi; Kimura, Fumitaka.

Proceedings of the 12th IAPR Conference on Machine Vision Applications, MVA 2011. 2011. p. 259-262.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Shimizu, T, Isami, M, Terada, K, Oyama, W, Wakabayashi, T & Kimura, F 2011, Color recognition by extended color space method for 64-color 2-D barcode. in Proceedings of the 12th IAPR Conference on Machine Vision Applications, MVA 2011. pp. 259-262, 12th IAPR Conference on Machine Vision Applications, MVA 2011, Nara, Japan, 6/13/11.
Shimizu T, Isami M, Terada K, Oyama W, Wakabayashi T, Kimura F. Color recognition by extended color space method for 64-color 2-D barcode. In Proceedings of the 12th IAPR Conference on Machine Vision Applications, MVA 2011. 2011. p. 259-262
Shimizu, Takuma ; Isami, Mariko ; Terada, Kenji ; Oyama, Wataru ; Wakabayashi, Tetsushi ; Kimura, Fumitaka. / Color recognition by extended color space method for 64-color 2-D barcode. Proceedings of the 12th IAPR Conference on Machine Vision Applications, MVA 2011. 2011. pp. 259-262
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