Image Pre-processing Methods for Traffic Sign Recognition

2014
Artjoms Supoņenkovs, Aleksandrs Glazs

The presented paper investigates the problems of image pre-processing methods for traffic sign recognition. It describes different methods and algorithms that allow to make Traffic Sign Recognition (TSR) systems adaptable for real-life environment and to convert the input information (from the camera) to a usable format for analyzing information about a traffic sign. In the experimental part of the paper the most important aspect regarding the comparison of image pre-processing algorithms is illustrated.

Keywords
Adaptive binarization, computer vision, image pre-processing, segmentation, traffic sign recognition
DOI
10.7250/tcc.2014.004

Supoņenkovs, A., Glazs, A. Image Pre-processing Methods for Traffic Sign Recognition. Technologies of Computer Control. Vol.15, 2014, pp.27-34. ISSN 2256-0343. e-ISSN 2256-0351. Available from: doi:10.7250/tcc.2014.004

Publication language
English (en)