List of Articles License plate recognition

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  1 - License Plate Detection and Recognition based on Neural Networks in Complex Environments
  .N. . Ameena Bibi Purru Supriya
  Now a days due to the rapid advancement of economy around the world the count of vehicles increases day by day. Increase in the number of vehicles causes violation detection, road congestion, accidents at different traffic situations, uneven illumination, lighting and w More

  Now a days due to the rapid advancement of economy around the world the count of vehicles increases day by day. Increase in the number of vehicles causes violation detection, road congestion, accidents at different traffic situations, uneven illumination, lighting and weather conditions. To overcome this issue license plate number is recognized but due to variations in license plate layout, font size of characters, tilted number plates, weather conditions, dirt plate and motion blur license plate recognition becomes difficult. License plate recognition has two main tasks, one is to detect the license plate and the other is to identify the license plate characters. By using region of interest license plate is detected. For recognition first tilted images are corrected using affine transformation and to improve the quality of a low-resolution image super resolution CNN is employed and connected component analysis, horizontal and vertical projection profile area used for separating each individuals characters. Each individual character image is fed to the Convolutional Neural Network (CNN) for character extraction and for classification and the license plate is recognized using convolutional neural networks. The main aim of this paper is to recognize different plate layout with different conditions with minimum data set and less processing time with maximum efficiency. Manuscript profile
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  2 - License Plate location Determination by Using Case-Based Reasoning
  yaser ebadzadeh Ahmad Habibi Zad Navin
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  3 - Automatic Persian License Plate Recognition by Edge Detection Using Hopfield Neural Network
  Homayoun Mahdavi-Nasab Mohammad Sadegh Memarzadeh Peyman Moallem
  License plate is the most suitable information for automobile identification. Auto license plate recognition system is an automatic process which extracts the plate number using photographs of the auto. The method presented in this paper consists of two stages. First, t More

  License plate is the most suitable information for automobile identification. Auto license plate recognition system is an automatic process which extracts the plate number using photographs of the auto. The method presented in this paper consists of two stages. First, the plate is located by edge detection and morphological techniques. Second, the characters are identified using Hopfield neural network. The proposed method has been tested on 700 photos with different backgrounds, distances and angles. The correct plate location and identification are evaluated 97.8% and 93% respectively. Manuscript profile
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  4 - Car License Plate Recognition using Color Features of Persian License Plates
  Amir Ebrahimi Abdollah Amirkhani Abolghasem A. Raie Mohammad R. Mosavi
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  5 - A New Hierarchical Architecture Based on SVM for Persian License Plate Character Recognition
  Amir Ebrahimi Ghahnavieh Abolghasem A. Raie
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