License Number Plate Recognition using Template Matching

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2016 by IJCTT Journal
Volume-35 Number-4
Year of Publication : 2016
Authors : Nighat Naaz Ansari, Ajay Kumar Singh
  10.14445/22312803/IJCTT-V35P133

MLA

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.

Abstract -
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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Keywords
License number plate, templatematching Gray-scale, dilation, erosion, convolution, segmentation, correlation.