Open Access
Subscription Access
Traffic Sign Symbol Recognition Using Single Dimension PCA
In this paper, the image processing method has been used to recognize traffic sign symbol from the static image. In this paper 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.
User
Font Size
Information
Abstract Views: 224
PDF Views: 1