Bar Code Waveform Recognition Using Peak Locations
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Robust Software Barcode Reader Using the Hough Transform
ICIIS '99 Proceedings of the 1999 International Conference on Information Intelligence and Systems
Barcode Readers using the Camera Device in Mobile Phones
CW '04 Proceedings of the 2004 International Conference on Cyberworlds
Barcode Scanning from Mobile-Phone Camera Photos Delivered Via MMS: Case Study
ER '08 Proceedings of the ER 2008 Workshops (CMLSA, ECDM, FP-UML, M2AS, RIGiM, SeCoGIS, WISM) on Advances in Conceptual Modeling: Challenges and Opportunities
Multimedia on Symbian OS: Inside the Convergence Device
Multimedia on Symbian OS: Inside the Convergence Device
An Evaluation of Product Identification Techniques for Mobile Phones
INTERACT '09 Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part I
Developing mobile multimedia applications on symbian OS devices
Mobile Multimedia Processing
Developing mobile multimedia applications on symbian OS devices
Mobile Multimedia Processing
Blur-resistant joint 1D and 2D barcode localization for smartphones
Proceedings of the 12th International Conference on Mobile and Ubiquitous Multimedia
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In this paper we present a robust algorithm for the recognition of 1-D barcodes using camera phones. The recognition algorithm is highly robust regarding the typical image distortions and was tested on a database of barcode images, which covers typical distortions, such as inhomogeneous illumination, reflections, or blurs due to camera movement. We present results from experiments with over 1,000 images from this database using a MATLAB implementation of our algorithm, as well as experiments on the go, where a Symbian C++ implementation running on a camera phone is used to recognize barcodes in daily life situations. The proposed algorithm shows a close to 100% accuracy in real life situations and yields a very good resolution dependent performance on our database, ranging from 90.5% (640 ×480) up to 99.2% (2592 ×1944). The database is freely available for other researchers. Further we shortly present MobilePID, an application for mobile product information display on web-enabled camera phones. MobilePID uses product information services on the internet or locally stored on-device data.