Automatic detection and recognition of traffic signs

Author

Hossain, M. Sajjad ; Hasan, M. Mahmudul ; Ali, M. Ameer ; Kabir, Md Humayun ; Ali, A. B M Shawkat

Author_Institution

Dept. of Comput. Sci. & Eng., Bangladesh Univ. of Eng. & Technol., Dhaka, Bangladesh

fYear

2010

fDate

28-30 June 2010

Firstpage

286

Lastpage

291

Abstract

Automatic detection of road sign is a challenging but demanding job. A new approach namely automatic detection and recognition of traffic signs (ADRTS) considering color segmentation, moment invariants, and neural networks has been proposed in this paper. Experimental result proves the superior performance in the detection and recognition of road signs. Computational time complexity is also quite low that makes it applicable for the real time system.

Keywords

computational complexity; image colour analysis; image segmentation; neural nets; object detection; object recognition; road traffic; automatic detection; color segmentation; computational time complexity; moment invariants; neural networks; real time system; road sign; traffic sign recognition; Colored noise; Computer science; Handicapped aids; High level synthesis; Image converters; Image segmentation; Neural networks; Roads; Shape; Telecommunication traffic; automation; hu moment; moment invariants; neural network; traffic sign;

fLanguage

English

Publisher

ieee

Conference_Titel

Robotics Automation and Mechatronics (RAM), 2010 IEEE Conference on

Conference_Location

Singapore

Print_ISBN

978-1-4244-6503-3

Type

conf

DOI

10.1109/RAMECH.2010.5513177

Filename

5513177