2017 First International Conference on Electronics Instrumentation &Amp; Information Systems (EIIS) 2017
DOI: 10.1109/eiis.2017.8298583
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The research of QR code image correction based on image gray feature

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Cited by 3 publications
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“…Not only that QR codes are also resistant to damage, because the QR code is able to correct the error up to 30%. Although some symbol of the QR code is dirty or damaged, the data can still be stored and read [10] [11]. Three square-shaped marks in three corners have a function so that the symbol can be read with the same results from any angle throughout 360 degrees [12].…”
Section: Introductionmentioning
confidence: 99%
“…Not only that QR codes are also resistant to damage, because the QR code is able to correct the error up to 30%. Although some symbol of the QR code is dirty or damaged, the data can still be stored and read [10] [11]. Three square-shaped marks in three corners have a function so that the symbol can be read with the same results from any angle throughout 360 degrees [12].…”
Section: Introductionmentioning
confidence: 99%
“…However, the QR code detection is still problem at low contrast and variable illumination [15–19]. To detect the four vertex coordinates of QR code image, many effective algorithms are proposed in the literature [20–25].…”
Section: Introductionmentioning
confidence: 99%
“…QR Codes have become vastly used via the rapid growing of mobile Internet and the expansion of QR Codes applications. There are many advantages that characterize the QR Code; Firstly, it is readable very faster even under low contrast conditions and this feature allows the direct marking, also it can be scanned at any angle; Secondly, it has a high data capacity of storage since it takes minimum space; Thirdly, it can handle different kinds of data; Fourthly, the QR Codes enable powerful encoding even if up to 30 % of the data is damaged; Finally, the availability of QR Codes for everyone led to wide range of utilizations and applications [1]. Digital watermarking takes an important area due to the challenges accomplished in the efficient inclusion of the watermark bits on a limited size of image intensity values [2], [3], [4].…”
Section: Introductionmentioning
confidence: 99%