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Nila Ponnath
Amrita Vishwa Vidyapeetham
Computer Science & IT Electrical & Electronics Engineering

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Automatic Vehicle Tracking System Based on Fixed Thresholding and Histogram Based Edge Processing N. Shobha Rani; Neethu O. P.; Nila Ponnath
International Journal of Electrical and Computer Engineering (IJECE) Vol 5, No 4: August 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1664.284 KB) | DOI: 10.11591/ijece.v5i4.pp869-878

Abstract

Automatic detection, extraction and recognition of vehicle number plate region in traffic control systems is one of the prominent application in Computer vision. The drastic increase in number of vehicles in the current generation greatly increases the complexity in tracking the vehicles through the human visual system, manual procedure of controlling traffic and enforcement of various laws and rules is not sufficient for smooth control of traffic. This urges the need for development of technology that can automate this process. This paper mainly focuses on the development of an automatic number plate extraction and recognition algorithm by incorporating constructs like edge detection, horizontal and vertical edge processing using fixed threshold technique. The extracted number plate region is again processed using template matching algorithm for the recognition of the characters embossed on the number plate with respect to every individual piece of number plate. The algorithm developed has achieved an accuracy of around 100% and works for both front and rear images of the car.
Co-Authors N. Shobha Rani Neethu O. P.