文章基本信息

标题：A Review on an Approach for Image Localization and Denoising of Quick Response Barcode Using Edge Detection Algorithms
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作者：Sharanjeet Kaur ; Ashok K. Bathla
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：2
页码：1862
DOI：10.15680/IJIRCCE.2017.0502129
出版社：S&S Publications
摘要：Quick Response Code is one type of 2D barcode. QR Code has been widely used in many fields. Theresearch has proposed a complete preprocessing system for restring low-quality Quick Response code images. Denoisingwill be done on slightly rotated code images. The system will be designed to deal with low contrast andslightly rotated code images. In existing systems, if any scratches are present in QR code the decoding algorithm isunable to decode. Current research will be implemented using multiple techniques to overcome the problems. The mainadvantage of this proposed system will be to restore the code efficiently. This research work will be implemented on adatabase composed of a number of images. Barcode technology is essential in automatic identification and used in widerange of real time applications. Different code types and application impose special problems, so there is a continuousneed for solution with improved performance. Current research propose a new algorithm through which research hasfound there contours and their cancroids.
关键词：Edge Detection; Morphological Operation; Gradient Method; FIP’s