Jen-Yu Shieh

Work place: Department of Electro-Optics Engineering, National Formosa University, Yunlin County, 632, Taiwan



Research Interests: Physics, Engineering


Jen-yu Shieh, male, received the B.S. degree in electrical enginerring from Feng-Chia University, Taichung, Taiwan, in 1984 and the M.E. degree in computer engineering and Ph.D. degree in electrical engineering from Florida Atlantic University, Boca Raton, in 1989 and 1992, respectively. While completing graduate degrees at FAU, he was an associate professor of Department of Electro-Optics Engineering at National Formosa University, Huwei, Taiwan. Since February 2010, he has been an professor. His current research interests include innovation and consumer products. He also has 47 patents and 6 consumer products.

Author Articles
Applications of Barcode Images by Enhancing the Two-Dimensional Recognition Rate

By Jen-Yu Shieh Jia-Long Zhang Yu-Ching Liao Kun-Hsien Lin

DOI:, Pub. Date: 28 Jul. 2012

The paper not only proposed the latest Two-Dimensional 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 2-D 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 2-D 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.

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