Image Pre-processing Methods for Traffic Sign Recognition

Artjoms Suponenkovs, Aleksandrs Glazs

Abstract


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.

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DOI: 10.7250/tcc.2014.004

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