NDLI: Robust Angle Invariant 1D Barcode Detection

Content Provider	IEEE Xplore Digital Library
Author	Zamberletti, A. Gallo, I. Albertini, S.
Copyright Year	2013
Description	Author affiliation: Dept. of Theor. & Appl. Sci., Univ. of Insubria, Varese, Italy (Zamberletti, A.; Gallo, I.; Albertini, S.)
Abstract	Barcode reading mobile applications that identify products from pictures taken using mobile devices are widely used by customers to perform online price comparisons or to access reviews written by others. Most of the currently available barcode reading approaches focus on decoding degraded barcodes and treat the underlying barcode detection task as a side problem that can be addressed using appropriate object detection methods. However, the majority of modern mobile devices do not meet the minimum working requirements of complex general purpose object detection algorithms and most of the efficient specifically designed barcode detection algorithms require user interaction to work properly. In this paper, we present 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. Our model is angle invariant, requires no user interaction and can be executed on a modern mobile device. It achieves excellent results for two standard one-dimensional barcode datasets: WWU Muenster Barcode Database and ArTe-Lab 1D Medium Barcode Dataset. Moreover, we prove that it is possible to enhance the overall performance of a state-of-the-art barcode reading algorithm by combining it with our detection method.
Starting Page	160
Ending Page	164
File Size	523710
Page Count	5
File Format	PDF
ISBN	9781479921904
DOI	10.1109/ACPR.2013.17
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-11-05
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Object Detection Accuracy Databases Image edge detection Transforms Hough Transform Cameras Mobile handsets Decoding 1D Barcode
Content Type	Text
Resource Type	Article

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