Rate the Article: A Removes Scratches from QR Code Image, IJSR, Call for Papers, Online Journal
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: 417

Research Paper | Electronics & Information Engineering | China | Volume 9 Issue 4, April 2020 | Rating: 6.2 / 10


A Removes Scratches from QR Code Image

Siriporn Buakaew, Zhang Jun


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



Rate this Article


Select Rating (Lowest: 1, Highest: 10)

5

Your Comments (Only high quality comments will be accepted.)

Characters: 0

Your Full Name:


Your Valid Email Address:


Verification Code will appear in 2 Seconds ... Wait

Top