Title :
Application of affine transformation in traffic sign detection
Author :
Zuo, Dandan ; Liu, Xin ; Zhu, Shuangdong
Author_Institution :
Ningbo Univ., Ningbo, China
Abstract :
The main goal of traffic sign recognition system (STR) is the detection and recognition of every traffic sign present in the scene. One of the most used approaches for image detection is the shape-based approach. In this paper, we propose a shape correction algorithm to increase accuracy of traffic detection by using affine transformation. We utilize affine transformation to rectify the shape of traffic signs in the real images. The experimental result shows that the algorithm is a fast and effective method for shape correction.
Keywords :
affine transforms; object detection; object recognition; shape recognition; traffic engineering computing; STR; affine transformation; image detection; shape correction algorithm; traffic sign detection; traffic sign recognition system; Image edge detection;
Conference_Titel :
Intelligent Control and Information Processing (ICICIP), 2010 International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-7047-1
DOI :
10.1109/ICICIP.2010.5565311