Detection of Indian Traffic Sign
Author(s):
Indumathi.M , Christian College of Engineering and Technology, Dindigul, Tamilnadu-624619, India.; Gnana Abinaya.T, Christian College of Engineering and Technology, Dindigul, Tamilnadu-624619, India.; Thangamani.K, Christian College of Engineering and Technology, Dindigul, Tamilnadu-624619, India.; Ashok deva.A , Christian College of Engineering and Technology, Dindigul, Tamilnadu-624619, India.; Jayaprakash.A, Christian College of Engineering and Technology, Dindigul, Tamilnadu-624619, India.
Keywords:
LISA-TS, CLAHE
Abstract:
This paper is mainly focused for Traffic Sign Detection systems have been placed on Indian traffic signs. We introduce a large expansion to the available LISA-TS (Laboratory for Intelligent and Safe Automobiles-Traffic Sign) traffic sign data set on high-definition-quality footage. The extension is made with testing of traffic sign detection systems in mind, providing videos of how the traffic sign passes. In this work, CLAHE, Haar feature methods are applied and show the performance of traffic signs. Our goal is to provide pure detection on the given sign boundary and it concentrate the Indian speed limit sign.
Other Details:
| Manuscript Id | : | IJSTEV2I10050
|
| Published in | : | Volume : 2, Issue : 10
|
| Publication Date | : | 01/05/2016
|
| Page(s) | : | 184-189
|
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