Volume no :4, Issue no: 2, June (2016)

International Journal of Applied Mathematics and Machine Learning

A NEW TRAFFIC SIGN SYMBOL RECOGNITION METHOD BY USING SINGLE DIMENSION PCA

Author's: D. Dragovich
Pages: [93] - [100]
Received Date: January 3, 2016
Submitted by: Jianqiang Gao
DOI: http://dx.doi.org/10.18642/ijamml_7100121642

Abstract

In this paper, the image processing method has been used to recognize traffic sign symbol from the static image. And then, we have to recognize traffic sign symbol by using single dimension principal component analysis (SDPCA). We have focused on traffic sign symbol of triangular shapes. Images are preprocessed with several image preprocessing techniques, such as threshold techniques, Gaussian filter and Canny edge detection then the single dimension principal component analysis algorithm stages are performed to recognize the traffic sign symbol.

Keywords

classification, feature extraction, single dimension PCA.