Paper
15 November 2011 A road sign detection and recognition system for mobile devices
Bo Xiong, Ozgur Izmirli
Author Affiliations +
Proceedings Volume 8335, 2012 International Workshop on Image Processing and Optical Engineering; 83350B (2011) https://doi.org/10.1117/12.917597
Event: 2012 International Workshop on Image Processing and Optical Engineering, 2012, Harbin, China
Abstract
We present an automatic road sign detection and recognition service system for mobile devices. The system is based on a client-server architecture which allows mobile users to take pictures of road signs and request detection and recognition service from a centralized server for processing. The preprocessing, detection and recognition take place at the server end and consequently, the result is sent back to the mobile device. For road sign detection, we use particular color features calculated from the input image. Recognition is implemented using a neural network based on normalized color histogram features. We report on the effects of various parameters on recognition accuracy. Our results demonstrate that the system can provide an efficient framework for locale-dependent road sign recognition with multilingual support.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bo Xiong and Ozgur Izmirli "A road sign detection and recognition system for mobile devices", Proc. SPIE 8335, 2012 International Workshop on Image Processing and Optical Engineering, 83350B (15 November 2011); https://doi.org/10.1117/12.917597
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Cited by 2 scholarly publications.
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KEYWORDS
Roads

Neural networks

Databases

Neurons

Mobile devices

RGB color model

Detection and tracking algorithms

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