Survey on Various Techniques to Decode Low Quality QR Codes
Remya Paul, Department of Computer Science and Engineering, Viswajyothi College of Engineering and Technology, Ernakulam (Kerala), India.
Manuscript received on June 02, 2019. | Revised Manuscript Received on June 20, 2019. | Manuscript published on June 20, 2019. | PP: 5-6 | Volume-5 Issue-4, May 2019. | Retrieval Number: D0913055419/19©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: QR codes also known as quick response code is a two dimensional barcode. It was created by Denso Wave .It was frame worked for automotive industry but today it was found everywhere in magazines, billboards, newspapers and so on. Compared to barcodes QR codes can carry large data and it’s more fault tolerant. Earlier there are specific scanners are used to decode QR code. Today modern handheld devices like mobile phones can capture and read QR code. But the problem is that images can be blurred or of low quality. It may be due to poor quality of the camera or external elements present in the code. This paper does a survey of various techniques available decode low quality QR codes
Keywords: Bar Codes, Binarization, Decoding, Image Pre-Processing, QR codes, Symbologies