Enhancing the Recognition Rate of Two-Dimensional Barcodes Image and Applications
The thesis not only proposed the latest TwoDimensional Barcodes Image-processing Module, but also captured the smallest camera screens (320-240) with different focal distances and tried to find out Finder Pattern for positioning images. Further, use CROBU (Conversion Ratio of Basic Unit) the thesis proposed to convert 2-D barcodes into 1-pixel ratio to match images before judging recognition rate of 2D barcodes through matching. Normally speaking, 2-D barcodes are deciphered and recognized by software while the thesis recognizes 2-D barcodes and enhances implementation speed up to 10-cm accurate max. using image matching. The 2-D barcodes image-processing module the thesis proposed does capture and standardize image with complicated background or raw edge, which enhances 2D barcodes recognition rate. The main point of this study is to construct a platform to manage or suggest nutrients human body needs. The Quick Response Code image of 2-D barcodes represents vitamin and calories information. 2-D barcodes taken instantly by MATLAB and CCD camera can be used to list nutrients from foods you eat recently and suggest what else you should eat for the purpose of health management.
QR Code Image-processing Image recognition Vitamins
Jen-Yu Shieh Jia-Long Zhang Yu-Ching Liao Chih-Ming Lin
Graduate Institute of Electro-Optical and Material Science, National Formosa University, Huwei Township Yunlin County 632, Taiwan
国际会议
2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)
上海
英文
1596-1600
2011-10-15（万方平台首次上网日期，不代表论文的发表时间）