Open Access Open Access  Restricted Access Subscription Access

Traffic Sign Symbol Recognition Using Single Dimension PCA


Affiliations
1 Department of Computer Science and Engineering, Rural Engineering College, Hulkoti, India
2 Department of Electronics and Communication Engineering, BVVS Polytechnic, Bagalkot, India
 

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
Notifications
Font Size

Abstract Views: 224

PDF Views: 1




  • Traffic Sign Symbol Recognition Using Single Dimension PCA

Abstract Views: 224  |  PDF Views: 1

Authors

Shashidhar T. Halakatti
Department of Computer Science and Engineering, Rural Engineering College, Hulkoti, India
Shambulinga T. Halakatti
Department of Electronics and Communication Engineering, BVVS Polytechnic, Bagalkot, India

Abstract


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.