Traffic-signs recognition system based on multi-features

Author

Wang, Wei ; Wei, Chia-Hung ; Zhang, Le ; Wang, Xuan

Author_Institution

Coll. of Software, Nankai Univ., Tianjin, China

fYear

2012

fDate

2-4 July 2012

Firstpage

120

Lastpage

123

Abstract

By now, most of the techniques on traffic signs recognition can only recognize those in particular groups, such as triangle signs for warning, circle signs for prohibition and etc but could not tell the exact meaning of every sign. In this paper, we proposed a framework on traffic system recognition system, which consists of two phrase that a segmentation method(FCM) is used to detect the traffic sign while the Content-Based Image Retrieval (CBIR) method is used to match the detect traffic signs to the traffic signs in the database in order to find out the exact meaning of every detected sign.

Keywords

content-based retrieval; image recognition; image retrieval; image segmentation; traffic engineering computing; CBIR method; FCM; circle signs; content-based image retrieval method; image segmentation method; multifeatures; traffic sign detection; traffic system recognition system; triangle signs; Databases; Educational institutions; Feature extraction; Image color analysis; Image recognition; Image segmentation; Shape; CBIR; FCM; Multiple feature extraction; Traffic sign recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence for Measurement Systems and Applications (CIMSA), 2012 IEEE International Conference on

Conference_Location

Tianjin

ISSN

2159-1547

Print_ISBN

978-1-4577-1778-9

Type

conf

DOI

10.1109/CIMSA.2012.6269599

Filename

6269599