Title :
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
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;
Conference_Titel :
Robotics Automation and Mechatronics (RAM), 2010 IEEE Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-6503-3
DOI :
10.1109/RAMECH.2010.5513177
