A Practical License Plate Recognition System for Real-Time Environments

2005 ◽  
pp. 881-888 ◽  
Author(s):  
Cemil Oz ◽  
Fikret Ercal
Keyword(s):  
Real Time ◽  
Recognition System ◽  
License Plate ◽  
License Plate Recognition

Arabic Real-Time License Plate Recognition System

2019 ◽  
pp. 126-143 ◽  
Author(s):  
Shaimaa Ahmed Elsaid ◽  
Haifa Alharthi ◽  
Reem Alrubaia ◽  
Sarah Abutile ◽  
Rawan Aljres ◽  
...  
Keyword(s):  
Real Time ◽  
Recognition System ◽  
License Plate ◽  
License Plate Recognition

scholarly journals Real time mobile based license plate recognition system with neural networks

2020 ◽  
Vol 1502 ◽  
pp. 012032
Author(s):  
Connie Liew ◽  
Chin Kim On ◽  
Rayner Alfred ◽  
Tan Tse Guan ◽  
Patricia Anthony
Keyword(s):  
Neural Networks ◽  
Real Time ◽  
Recognition System ◽  
License Plate ◽  
License Plate Recognition

Research and Design of the License Plate Recognition Systems Based on ARM S3C2440

2013 ◽  
Vol 333-335 ◽  
pp. 2484-2488
Author(s):  
Zhen Tao Qin ◽  
Wu Nian Yang ◽  
Ru Yang
Keyword(s):  
Real Time ◽  
Intelligent Transportation ◽  
Recognition System ◽  
Experimental Results ◽  
Dynamic Monitoring ◽  
License Plate ◽  
License Plate Recognition ◽  
Hough Transformation ◽  
Recognition Systems ◽  
Research And Design

In order to meet the need of real-time and dynamic monitoring of intelligent transportation, a License Plate Recognition (LPR) System Based on ARM S3C2440 is introduced and a vehicle license recognition system is designed and realized. This thesis comparatively explains the tasks and problems and dose analytic research across all phases of the system. Image binary and slant rectification also be discussed, which are difficulty points in LPR. According to the study of the license plate images, we use hough transformation and image reverse rotation , a inclined rectification method was proposed. The experimental results show that the approach is excellent in the accuracy with rapid speed and is in the robustness.

A BACK PROPAGATION BASED REAL-TIME LICENSE PLATE RECOGNITION SYSTEM

2008 ◽  
Vol 22 (02) ◽  
pp. 233-251 ◽  
Author(s):  
YO-PING HUANG ◽  
TSUN-WEI CHANG ◽  
YEN-REN CHEN ◽  
FRODE EIKA SANDNES
Keyword(s):  
Neural Network ◽  
Real Time ◽  
Recognition Rate ◽  
Back Propagation ◽  
Recognition System ◽  
Back Propagation Neural Network ◽  
License Plate ◽  
License Plate Recognition ◽  
Video Frames ◽  
Parking Lot

License plate recognition systems have been used extensively for many applications including parking lot management, tollgate monitoring, and for the investigation of stolen vehicles. Most researches focus on static systems, which require a clear and level image to be taken of the license plate. However, the acquisition of images that can be successfully analyzed relies on both the location and movement of the target vehicle and the clarity of the environment. Moreover, only few studies have addressed the problems associated with instant car image processing. In view of these problems, a real-time license plate recognition system is proposed that recognizes the video frames taken from existing surveillance cameras. The proposed system finds the location of the license plate using projection analysis, and the characters are identified using a back propagation neural network. The strategy achieves a recognition rate of 85.8% and almost 100% after the neural network has been retrained using the erroneously recognized characters, respectively.

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