A Study on Multiple Barcode Detection from an Image in Business System
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TLDR
The proposal mainly deals with multiple product’s barcode to be detected simultaneously, which will have implementation for supershop billing system and inventory management, and will be angle invariant, requires less user interaction than usual and can be executed on available computers.Abstract:
The pillar of automatic identification is Barcode technology which is used comprehensively in real time applications with various types of codes. The different types of codes and applications sometimes faces special problems, so the improvement of the effectiveness must be done persistently. This paper’s proposal mainly deals with multiple product’s barcode to be detected simultaneously. The proposed algorithm which will have implementation for supershop billing system and inventory management. The method will recognize the barcodes using image processing. Images will be taken using mobile camera sensor. It will detect 1D barcodes such as EAN-13 barcodes, Code-128 barcodes, 2D barcodes such as QR codes. Moreover, it will be angle invariant, requires less user interaction than usual and can be executed on available computers. This model helps consumers to minimize the time for the billing system in shopping. We have implemented this in Python IDE using OpenCV library.read more
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References
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Progressive probabilistic Hough transform for line detection
TL;DR: The algorithm is ideally suited for real-time applications with a fixed amount of available processing time, since voting and line detection is interleaved and the most salient features are likely to be detected first.
Toolkit for bar code recognition and resolving on camera phones - jump starting the Internet of things
TL;DR: This work has developed a freely available EAN-13 bar code recognition and information system that is both lightweight and fast enough for the use on camera equipped mobile phones, thus significantly lowering the barrier for large-scale, realworld testing of novel information and interaction applications based on ''connected'' physical objects.
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TL;DR: This paper takes account of QR codes basics, its real time application in day to day life and research areas associated, and highlights some of possible research areas while considering QR codes.
Proceedings ArticleDOI
Robust Angle Invariant 1D Barcode Detection
TL;DR: This paper presents a novel method for barcode detection in camera captured images based on a supervised machine learning algorithm that identifies one-dimensional barcodes in the two-dimensional Hough Transform space and proves that it is possible to enhance the overall performance of a state-of-the-art barcode reading algorithm by combining it with the detection method.
Book ChapterDOI
Efficient 1D and 2D Barcode Detection Using Mathematical Morphology
Melinda Katona,László G. Nyúl +1 more
TL;DR: A new algorithm variant is proposed, that outperforms in both accuracy and efficiency other detectors found in the literature using similar ideas, and also improves on the detection performance in detecting 2D codes compared to the previous algorithm.