Image Pre-processing Methods for Traffic Sign Recognition | Zendy

Artjoms Supoņenkovs | Zendy; Aleksandrs Glazs | Zendy

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Image Pre-processing Methods for Traffic Sign Recognition

Author(s) -

Artjoms Supoņenkovs,

Aleksandrs Glazs

Publication year - 2015

Publication title -

technologies of computer control

Language(s) - English

Resource type - Journals

eISSN - 2256-0343

pISSN - 2256-0351

DOI - 10.7250/tcc.2014.004

Subject(s) - usable , traffic sign recognition , traffic sign , computer science , sign (mathematics) , image processing , artificial intelligence , computer vision , digital image processing , image (mathematics) , pattern recognition (psychology) , multimedia , mathematical analysis , mathematics

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.

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