This paper is published in Volume-4, Issue-3, 2018
Area
Image Processing
Author
Gifty Saju, Anna Prethibha Shobak
Org/Univ
Mangalam College of Engineering, Kottayam, Kerala, India
Pub. Date
28 May, 2018
Paper ID
V4I3-1451
Publisher
Keywords
Driver’s assistance system, Automotive machines, Traffic sign detection, Optical character recognition.

Citationsacebook

IEEE
Gifty Saju, Anna Prethibha Shobak. Highly accurate DAS for detecting speed limit signs, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Gifty Saju, Anna Prethibha Shobak (2018). Highly accurate DAS for detecting speed limit signs. International Journal of Advance Research, Ideas and Innovations in Technology, 4(3) www.IJARIIT.com.

MLA
Gifty Saju, Anna Prethibha Shobak. "Highly accurate DAS for detecting speed limit signs." International Journal of Advance Research, Ideas and Innovations in Technology 4.3 (2018). www.IJARIIT.com.

Abstract

Driver Assistance Systems (DAS) are the systems to help the driver in the driving process. This work checks the road in front of a vehicle and detects speed limit sign. Highly reliable and accurate classification is done through three main phases named acquisition, detection, and recognition. Optical Character Recognition (OCR) technique is used in this algorithm to recognize traffic sign templates. This proposed system results in more accuracy over existing DAS. The capacities and vigor of the proposed system are tried against various situations.