License Number Plate Recognition using Template Matching
||International Journal of Computer Trends and Technology (IJCTT)||
|© 2016 by IJCTT Journal|
|Year of Publication : 2016|
|Authors : Nighat Naaz Ansari, Ajay Kumar Singh|
|DOI : 10.14445/22312803/IJCTT-V35P133|
Nighat Naaz Ansari, Ajay Kumar Singh "License Number Plate Recognition using Template Matching". International Journal of Computer Trends and Technology (IJCTT) V35(4):175-178, May 2016. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
In this paper, recognition of characters written on a vehicle license number plate is proposed. Method used that is for the recognition of the characters from the license number plate and is based on template-matching. In this method , first the image of a car license number plate is taken as input, then pre-processing steps such as conversion to Gray-scale image, dilation, erosion, convolution is done to remove noise from the input image. Then each character in the number plate is segmented. Segmentation is done on the basis of connected components. Then after segmentation, recognition of characters is done by matching templates to the segmented characters. Matching is done on the basis of correlation between segmented characters and the templates in the database. In the last step, a text file shows the recognised number and the character from the input image. Simulation of the project is done in MATLAB.
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License number plate, templatematching Gray-scale, dilation, erosion, convolution, segmentation, correlation.