Dissertation > Excellent graduate degree dissertation topics show

Research of License Plate Recognition System Based on Certain Digital Image Processing Technology

Author: ZhaoHuanQing
Tutor: HuHongPing
School: University of North
Course: Applied Mathematics
Keywords: license plate location mathematical morphology character recognition feature extraction character segmentation
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 67
Quote: 0
Read: Download Dissertation

Abstract


License plate recognition system is widely used in car parking management, highway speed detection system,traffic management system, vehicle monitoring system. Therefore, the license plate recognition system can effectively serve the traffic management system to improve traffic management efficiency.License plate recognition system includes license plate location, license plate character segmentation; character recognition. Considering license plate recognition system for domestic and international research status, the paper gives a comprehensive introduction and an in-depth study about license plate location algorithm and character segmentation and recognition algorithms.Before the license plate location, RGB image is translated into gray image. Weather and light have a greater impact on the RGB image, so accuracy is lower when we use color features to locate the plate; Moreover, color images require more storage space, which will make the processing speed slow. Therefore, in the preprocessing; RGB images collected are translated into gray image.License plate location is the key technology in license plate recognition system. License plate location accuracy directly influences the license plate identification effect. License plate location goal is to make the license plate area segmented out from the vehicle’s image. In the license plate location part, the paper put forward a location algorithm based on the texture characteristics and color characteristics of the license plate. The algorithm firstly makes use of license plate texture feature to locate license plate roughly, including the edge detection, mathematics morphological processing, etc. Finally, using color characteristics of vehicle license plate area for accurate positioning, mainly including space transform, boundary determination. 80 images were tested and the results show that the method is accurate and fast.In character segmentation part, according to the characteristics of license plate, we use an improved level projection method for character segmentation. First, from head to the next line, when the first black pixel is detected, we will think that its row is the border place of the character. And again from upper upwards scanning, when the scanning to the first black pixel, we will do as character in the lower; Secondly, using of the horizontal projection method for a coarse division which is about the minimum of cutting points. Finally, the paper adopts a horizontal projection method for a single character image, scanning images of characters from left to right in horizontally. When a row of black lace which pixel sum is smaller than a certain threshold, which detects the border of the character. This method to overcome character adhesion and characters-disconnected problem is very effective.In character recognition, the paper studies the part about contour matching method based on the statistical characteristics. Identification tests act on the last character of license plate. First we calculated respectively distance from the first black pixel to the corresponding boundary in the four directions of image, which is thought as the contour features. Secondly, we will take outline feature as the input value of a discriminate function, and use discriminate function to identify characters.

Related Dissertations

  1. Research on Automatic Detection Algorithm for Substructure Distress of Highway Pavement Based on SVM,U418.6
  2. ISAR Imaging Simulation of Space Targets and Target Recognition Based on ISAR Images,TN957.52
  3. Tongue Feature Extraction and Research of Fusion Classification,TP391.41
  4. Research on Feature Extraction and Classification of Pulse Waveform for Cholecystitis and Nephrotic Syndrome Diagnosis,TP391.41
  5. Application of Q-Learning in the Content-Based Image Retrieval Technology,TP391.41
  6. Research on Transductive Support Vector Machine and Its Application in Image Retrieval,TP391.41
  7. Research on Feature Extraction and Classification of Tongue Shape and Tooth-Marked Tongue in TCM Tongue Diagnosis,TP391.41
  8. Research on Visual Measurement for Spacecraft Rendezvous and Approach,TP391.41
  9. Research on the Image Real-Time Acquisition, Storage and Image Processing System,TP391.41
  10. Feature Extraction, Selection and Combination in Lipreading,TP391.41
  11. The Research of the Text Extraction Method Based on Spectral Cut,TP391.41
  12. Multi-currency Notes Technology Research and Implementation,TP391.41
  13. The Research on Paper Currency Classification Method Based on Harr-Like Feature and Minimal Ball Including Samples,TP391.41
  14. Pavement Distress Recognition Based on Image,TP391.41
  15. Research on Visual Detection and Tracking of Mobile Robots,TP242.62
  16. Research on Fusion Algorithm of Hyper Spectral and High Spatial Resolution Remote Sensing Image,TP751
  17. The Properties of Laser Speckle Based on the Mathematical Morphology,O29
  18. An Approach for Identifying a Plant Resistance Gene Based on the Random Forest,Q943
  19. Road extraction algorithm based on region segmentation of remote sensing image,TP751
  20. Tobacco Diseases Auto-Recognition Research Based on Image Processing Technology,S435.72
  21. Research on Nondestructive Detection Technology for External Qualities of Papayas Based-on Vision,S667.9

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