TITLE:
Libyan Licenses Plate Recognition Using Template Matching Method
AUTHORS:
Alla A. El. Senoussi Abdella
KEYWORDS:
License Plate Recognition, Optical Character Recognition, Computer Vision System
JOURNAL NAME:
Journal of Computer and Communications,
Vol.4 No.7,
May
26,
2016
ABSTRACT: License plate recognition (LPR) applies
image processing and character recognition technology to identify vehicles by
automatically reading their license plates. The work presented in this paper
aims to create a computer vision system capable of taking real-time input image
from a static camera and identifying the license plate from extracted image.
This problem is examined in two stages: First the license plate region
detection and extraction from background and plate segmentation to sub-images,
and second the character recognition stage. The method used for the license
plate region detection is based on the assumption that the license plate area
is a high concentration of smaller details, making it a region of high
intensity of edges. The Sobel filter and their vertical and horizontal
projections are used to identify the plate region. The result of testing this
stage was an accuracy of 67.5%. The final stage of the LPR system is optical
character recognition (OCR). The method adopted for this stage is based on
template matching using correlation. Testing the performance of OCR resulted in
an overall recognition rate of 87.76%.