Dissertation > Excellent graduate degree dissertation topics show

Plates positioning identification system design and implementation

Author: HeLi
Tutor: WuHong
School: University of Electronic Science and Technology
Course: Computer Software and Theory
Keywords: License Plate Character Segmentation Character Recognition BP NeuralNetwork
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 124
Quote: 1
Read: Download Dissertation

Abstract


The rapid increasing of the number of vehicles makes it difficult for traficmanagement. To alleviate the conflicts between vehicles, pedestrians, and tranficmanagers, it is becoming an inevitable trend to improve traffic management withinformation technology and intelligent technology. Vehicles is a basic element oftransportation systems, which can be uniquely identified by the registered code on thelicense plate. So, automatic license plate recognition is an important research topic forintelligent transportation.This dissertation introduces the development of a license plate recognitionsystem. It detailly describes the algorithms of image pre-processing, license platelocation, character segmentation and recognition，and finally gives the implementationof a prototype system.In the image pre-processing step, color image is transferred to grayscale image bya weighted average method, and enhanced by a segmented algorithm. The graysaleimage is then transferred to a binary image by combination of Bernsen local thresholdalgorithm and a fuzzy enhancement algorithm. In plate location step, with the edgefeatures and a projection method, the plate area is roughly located, and then preciselylocated by erasing the frame of plate and slant correction. After that, the characterareas in the plate are segmented by vertical projection. Finally, each character isrepresented by the pixels in the character area, and sent to a character recognizor forrecognition. Our character recognizor is based on BP neural network trained on thecollected samples, and is very adaptive and robust.Based on the developed algorithms, we developed a prototype system of licenceplate recognition with VS2005 environment and Opencv toolkit. Experiments indicatesthat the system is easy-use, effective, and can accomplish license plate location,recognition and other major functions.

Related Dissertations

  1. The Research of the Text Extraction Method Based on Spectral Cut,TP391.41
  2. Study on the Image Quality Assessment and Recognition Technology for Characters Pressed on Labels,TP391.41
  3. The Research of Car License Plate Recognition Technology Based on Neural Network,TP391.41
  4. Research and Application of Vidio License Plate Recognition System Based on Software Trigger,TP391.41
  5. Research and Implementation on Recognition Algorithm of Blurred Images of Vehicles and License Plate,TP391.41
  6. License plate recognition system based on embedded,TP391.41
  7. Some special license plate location and recognition algorithms,TP391.41
  8. Design and Application of License Plate Recognition Based on Image Processing,TP391.41
  9. Research on Chinese Character Recognition of Low Quality License Plate,TP391.41
  10. Design and Implement of Intelligent Ethernet-based Interconnect Parking System,TP273.5
  11. Black and White Aerial Photo Reconnaissance Image Processing Technology Research,TP391.41
  12. Design and Implementation of License Plate Recognition System,TP391.41
  13. The Key Research of Vehicle License Plate Recognition under Natural Environment,TP391.41
  14. The Research of License Plate Recognition Algorithm Based on Machine Vision,TP391.41
  15. Detection of license plate location based on image processing technology to achieve,TP391.41
  16. Character recognition technology based on BP neural network,TP391.41
  17. Paper Currency Numbers Recognition System Design and Research,TP391.41
  18. Offline Handwritten Chinese Character Segmentation Based on Neighborhood-covering,TP391.43
  19. Research Andachievement of License Plate Recognition System Based on Neural Network,TP391.41
  20. Research on Technology of Car License Plate Character Recognition Based on Improved BP Neural Network,TP391.41
  21. Research of Handwritten Chinese Character Recognition,TP391.43

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