Dissertation > Excellent graduate degree dissertation topics show

License plate recognition algorithm under complex background

Author: WangMin
Tutor: TianQiChuan
School: Taiyuan University of Science and Technology
Course: Circuits and Systems
Keywords: Motion blur restoration License plate location Tilt correction Character segmentation Character recognition Neural network
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 69
Quote: 0
Read: Download Dissertation

Abstract


In recent years, with a significant increase in the domestic motor vehicles, the research and development of license plate recognition systems become increasingly important. For the license plate recognition technology, there are many new algorithms and design ideas, but there are still many technical difficulties. For example, restoration of images which are taken motion blur due to the high speed, license plate location and segmentation in complex background, tilt correction plate, characters recognition which is polluted and easily confused. This topic proposes some practical algorithms for the existing difficulties.This review focuses on the motion blurred license plate restoration, license plate localization, character segmentation and character recognition. The specific Algorithms are described as follows:1) Motion blurred license plate restoration. Motion blur make the image information extraction difficult, its recovery has important practical significance. An improved motion blur restoration algorithm is presented in this paper. The improved high-pass filter fast algorithm is used to determine the direction of motion blur. Edge detection algorithm is used to determine fuzzy scale. Finally, the blurred image is recovered by Wiener filter. A new algorithm is proposed for automatic estimate K value in this paper.2) Vehicle license area position. A new algorithm of vehicle license plate location based on morphology-line scan is proposed. This algorithm has good performance for vehicle license plate location in low-quality images. Firstly, the plate edges are determined. Secondly, morphological operations are done to get several connected region, and then license plate is rough located based on plate aspect ratio. Finally, line-scanning method is used for precise positioning according to the number of black and white pixel transform. Then tilt plates are corrected by the Hough transform.3) Character segmentation. First of all, the frame in license plate is removed and the image is normalized. It makes characters segmentation very simple. With license plate features, the dimension of characters and character spacing in normalized image are calculated. The segmentation points of each character can be determined easily by the above step. The effects of the environmental factors are removed by this algorithm. The success rate of this algorithm is high.4) Character recognition. Using BP neural network, segmented characters are directly stented into the network. Features of Character are extracted independent by network. Trained network parameters are saved and are read when the character is recognized. The results of recognition are output.

Related Dissertations

  1. Development of the Platform for Compressor Optimization Design and Aerodynamic Optimization Design in the Transonic Compressor,TH45
  2. Research on Feature Extraction and Classification of Tongue Shape and Tooth-Marked Tongue in TCM Tongue Diagnosis,TP391.41
  3. Study on Virtual Detector of Infrared Hyper-Spectral Image,TP391.41
  4. The Research of the Text Extraction Method Based on Spectral Cut,TP391.41
  5. The Application of Fuzzy Control and Neural Network in Planar Double Inverted Pendulum,TP273.4
  6. Research of Visual Servoing in 4-DOF Robotic Manipulator,TP242.6
  7. Research on Visual Servo System of Mechanical ARM,TP242.6
  8. Design of Weapon Detection Device Control System,TP183
  9. Municipal tourism land use planning environmental impact assessment,X820.3
  10. Research on the Inteligent System of High Performance Concrete Mix Design in Zhujiang Triangle Area,TU528
  11. Study on Taste Characteristic of Taste Peptide Enzymatic Production from Oyster Base on A Neural Network Method,TS254.4
  12. Smart Control Research in Paddy Drying Based on BP Neural Network,S226.6
  13. BP network optimization based on genetic algorithm optimization of the biodiesel process,TE667
  14. Fire Fighting System Research for the Offshore Platform,U698.4
  15. The Research on Evaluation of Living Status Systems of Expressway Relocated People,D523
  16. Research on Inspection Technology of Dehydrated Garlic Slice Based on Computer Vision,TP391.41
  17. Research and Application of Safety Assessment Method Based on Neural Network,X937
  18. The Design of the Coal Mine’s Safety Evaluation System Based on Wavelet Neural Network,TD79
  19. Study of Gray Neural Network Model of Enterprise’s Safety Devotion,X913.4
  20. Research of VRLA Battery On-line Montoring and Contorl System,TP277
  21. The Identification of Fault Type in Transmission Lines Based on Neural Network,TP183

CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
© 2012 www.DissertationTopic.Net  Mobile