Speed Limit Road Sign Detection and Recognition System

Abstract

This paper proposes a system that detects and recognizes speed-limit signs automatically. The system detects potential speed-limit sign regions by detecting maximally stable extremal regions (MSERs). The recognition is achieved by using a Support Vector Machine (SVM) classifier. The proposed system provides robustness and high accuracy in detecting and recognizing speed-limit signs when input images have different lighting conditions and blurriness.