International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

Downloads: 115 | Views: 181

Research Paper | Electronics & Information Engineering | China | Volume 9 Issue 4, April 2020

A Removes Scratches from QR Code Image

Siriporn Buakaew | Zhang Jun [3]

Abstract: An advanced technique was developed to remove scratches from damaged QR codes. Some curtain areas were considered as information areas of the QR code. To extract scratches from damaged QR code, HSV (Hue, Saturation and Value) was applied. The QR code decoding algorithm was unable to operate if the scratch on the QR code exceeded the error correction level threshold. A morphological image processing technique was applied, starting with a dilation process to change the image structure and allow the scratch to become even more obvious. A clear scratch can be more easily deleted. To increase the efficiency of decoding, a median filter algorithm was applied by transforming the image into binary to remove local noise.

Keywords: QR Code, HSV, Median Filter

Edition: Volume 9 Issue 4, April 2020,

Pages: 263 - 267

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