文章基本信息

标题：A SMART FUZZY AUTO SUGGESTION SYSTEM FOR A MULTILAYER QR CODE GENERATOR
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作者：BAKRI BADAWI ; TEH NORANIS MOHD ARIS ; NORWATI MUSTAPHA 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2019
卷号：97
期号：13
页码：3585-3603
出版社：Journal of Theoretical and Applied
摘要：One of the current major developments in color Quick Response (QR) code requires larger data capacity. Many research works proposed color QR code with a data capacity three times larger compared to black and white QR code. These works emphasize on the algorithm about how to generate color QR code but, it does not provide sufficient information on color QR code generator implementation. In this paper, we will show the implementation for multilayer QR code generator with smart suggestion for the number of colors, based on size available on paper and size of data file. Fuzzy technique is utilized for the smart suggestion. The proposed generator also explains how to add color reference for the generated QR code. This color reference indicates how many colors are used for this QR code. The proposed generator can generate color QR code with data capacity four times larger compared to black and white QR code and a 25% larger color QR code compared to any existing work.
关键词：Smart; Fuzzy; Suggestion; Color QR Code; Generator