Title :
Recognition of the triangular and rectangular road signs using passing lines intersection
Author :
Fard, Arshad Lohoni ; Chalechale, Abdolah ; Ebrahimi, Seyed Ali Razavi
Author_Institution :
Payam Noor Univ., Tehran, Iran
Abstract :
A road sign recognition system automatically detects road signs as images captured by the camera installed in the car. It helps the driver to drive better. Most of the existing systems have two phases, including detection and classification. This paper presents Passing Lines Intersection as a innovative method for the classification phase. It is capable to classification the triangular and rectangular road signs swiftly and showing 89.26% accuracy rate. The main idea of the proposed method for road sign classification is to analyze special lines that are unique in all signs. A significant characteristic of the method is independence of the scale, direction and rotation of the road signs. Furthermore, the database used in the system can easily change for different countries having different signs.
Keywords :
automobiles; geometry; image classification; image recognition; traffic engineering computing; classification phase; innovative method; passing lines intersection; rectangular road signs; road sign recognition system; road sign rotation; road signs detection; triangular road signs; Accuracy; Databases; Image color analysis; Image recognition; Roads; Shape; Vehicles; Classification; Passing lines intersection; Recognition; Road signs;
Conference_Titel :
Artificial Intelligence and Signal Processing (AISP), 2012 16th CSI International Symposium on
Conference_Location :
Shiraz, Fars
Print_ISBN :
978-1-4673-1478-7
DOI :
10.1109/AISP.2012.6313764