TY  - JOUR
T1  - An Efficient Method for License Plate Recognition System Based on Neural Networks
AU - Pourahmadi, M. AU - Sadeghi, S. AU - Shayesteh, M.R. 
JO  - International Journal of System Signal Control and Engineering Application
VL  - 10
IS  - 5
SP  - 126
EP  - 133
PY  - 2017
DA  - 2001/08/19
SN  - 1997-5422
DO  - ijssceapp.2017.126.133
UR  - https://makhillpublications.co/view-article.php?doi=ijssceapp.2017.126.133
KW  - License plate recognition
KW  -edge detection
KW  -character recognition
KW  -neural networks
KW  -image processing
AB  - In recent years, as a result of many applications
in daily lives such as the management of stolen cars,
management of parking lots and traffic flow control, the
necessity of intelligent and automatic recognition of cars’
License Plates (LP) is swiftly increasing. Taking into
account the specific application to define the algorithms,
hardware and the network structure, the process of
recognizing involves localization of the license plate
region, exploiting of the plate characters and identification
of the characters. This work is based on a designed
algorithm to recognize the plates by means of the pictures
taken under wide-ranging environmental conditions from
bright direct sunlight to poorly illuminated conditions at
night as well as diverse angles and distances. The
threshold for license plate region is determined by using
Otsu’s thresholding method and the plate features.
Vertical and horizontal histograms are used for character
segmentation. At last, recognition of Iranian plate
characters is achieved by a new algorithm based on neural
network. Simulations are performed using MATLAB
Software.
ER  -