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Color QR code recognition utilizing neural network and fuzzy logic techniques

Quick Response (QR) code is popular type of two dimensional barcode. The key feature of QR code is larger storage capacity and high damage resistance compared to the traditional barcodes. Color QR code is the future as it provides much higher encoding capacity, but it also brings tremendous challeng...

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Main Authors: Badawi, Bakri, Mohd Aris, Teh Noranis, Mustapha, Norwati, Manshor, Noridayu
Format: Article
Language:English
Published: Asian Research Publication Network 2017
Online Access:http://psasir.upm.edu.my/id/eprint/61145/1/Color%20QR%20code%20recognition%20utilizing%20neural%20network%20and%20fuzzy%20logic%20techniques.pdf
http://psasir.upm.edu.my/id/eprint/61145/
http://www.jatit.org/volumes/Vol95No15/29Vol95No15.pdf
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spelling my.upm.eprints.611452018-09-14T08:14:24Z http://psasir.upm.edu.my/id/eprint/61145/ Color QR code recognition utilizing neural network and fuzzy logic techniques Badawi, Bakri Mohd Aris, Teh Noranis Mustapha, Norwati Manshor, Noridayu Quick Response (QR) code is popular type of two dimensional barcode. The key feature of QR code is larger storage capacity and high damage resistance compared to the traditional barcodes. Color QR code is the future as it provides much higher encoding capacity, but it also brings tremendous challenges to the decoding because of color interference and illumination. This research paper presents a method for QR code recognition using the Neural Network (NN) and fuzzy logic techniques. We created a framework for image decoding. First, the color QR code is converted to black and white then the QR code is recognized using neural network. Next, the original colors are returned to the QR code. The colors are enhanced using fuzzy logic and then, the enhanced color QR code is split into three barcodes which are red, green and blue. Finally, each QR code is converted to black and white and sent to ZXing library for decoding and obtained the original data. ZXing library has been utilized for decoding and recognition purposes and has produced satisfactory results. This research proof that by, utilizing NN and fuzzy logic techniques has produced better QR code success rates of five percent. Asian Research Publication Network 2017 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/61145/1/Color%20QR%20code%20recognition%20utilizing%20neural%20network%20and%20fuzzy%20logic%20techniques.pdf Badawi, Bakri and Mohd Aris, Teh Noranis and Mustapha, Norwati and Manshor, Noridayu (2017) Color QR code recognition utilizing neural network and fuzzy logic techniques. Journal of Theoretical and Applied Information Technology, 95 (15). 3703 - 3711. ISSN 1992-8645; ESSN: 1817-3195 http://www.jatit.org/volumes/Vol95No15/29Vol95No15.pdf
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Quick Response (QR) code is popular type of two dimensional barcode. The key feature of QR code is larger storage capacity and high damage resistance compared to the traditional barcodes. Color QR code is the future as it provides much higher encoding capacity, but it also brings tremendous challenges to the decoding because of color interference and illumination. This research paper presents a method for QR code recognition using the Neural Network (NN) and fuzzy logic techniques. We created a framework for image decoding. First, the color QR code is converted to black and white then the QR code is recognized using neural network. Next, the original colors are returned to the QR code. The colors are enhanced using fuzzy logic and then, the enhanced color QR code is split into three barcodes which are red, green and blue. Finally, each QR code is converted to black and white and sent to ZXing library for decoding and obtained the original data. ZXing library has been utilized for decoding and recognition purposes and has produced satisfactory results. This research proof that by, utilizing NN and fuzzy logic techniques has produced better QR code success rates of five percent.
format Article
author Badawi, Bakri
Mohd Aris, Teh Noranis
Mustapha, Norwati
Manshor, Noridayu
spellingShingle Badawi, Bakri
Mohd Aris, Teh Noranis
Mustapha, Norwati
Manshor, Noridayu
Color QR code recognition utilizing neural network and fuzzy logic techniques
author_facet Badawi, Bakri
Mohd Aris, Teh Noranis
Mustapha, Norwati
Manshor, Noridayu
author_sort Badawi, Bakri
title Color QR code recognition utilizing neural network and fuzzy logic techniques
title_short Color QR code recognition utilizing neural network and fuzzy logic techniques
title_full Color QR code recognition utilizing neural network and fuzzy logic techniques
title_fullStr Color QR code recognition utilizing neural network and fuzzy logic techniques
title_full_unstemmed Color QR code recognition utilizing neural network and fuzzy logic techniques
title_sort color qr code recognition utilizing neural network and fuzzy logic techniques
publisher Asian Research Publication Network
publishDate 2017
url http://psasir.upm.edu.my/id/eprint/61145/1/Color%20QR%20code%20recognition%20utilizing%20neural%20network%20and%20fuzzy%20logic%20techniques.pdf
http://psasir.upm.edu.my/id/eprint/61145/
http://www.jatit.org/volumes/Vol95No15/29Vol95No15.pdf
_version_ 1643837515493277696
score 13.211869

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