Dissertation > Excellent graduate degree dissertation topics show

Research on Recognition of QR Codes Based on Image Processing

Author: ZhouJieJing
Tutor: LiuYunFei
School: Nanjing Forestry University
Course: Measuring Technology and Instruments
Keywords: Quick Response Code image processing binarization distortion correction decoding algorithm
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 88
Quote: 0
Read: Download Dissertation

Abstract


The QR code (Quick Response Code) is a two-dimensional barcode widely used as part of daily life due to its good featured such as large capacity, high reliability, all-direction high speed scan, small printout size and effective Chinese characters expression. General QR code reading software can not correctly decode QR codes due to the image problems such as uneven illumination, tilt angles and distorted surfaces.In this paper, the pretreatment technology of QR code recognition has been studied base on the fundamental principles of image processing. Three new methods are proposed to improve the accuracy of QR code decoding when dealing with the image problems such as uneven illumination, perspective distortion and curved surface distortion.Firstly, the QR code binarization algorithm in uneven lighting conditions is proposed. Sauvola’s adaptive document image binarization algorithm is modified according to the features of QR code symbols and the relative parameters are given.Secondly, a distortion correction algorithm is proposed to correct the perspective distorted QR code images taken by mobile phones adaptively. At first, the QR code image is filtered. Then, the gradient-based Hough transform is modified to calculate the adaptive parameters. The eight longest lines are calculated and the contour lines of QR code symbol are detected. After that, the four vertices of QR code are obtained. At last, the inverse perspective transformation and gray level interpolation are performed to correct the distorted QR code image.Thirdly, a correction algorithm for the QR images printed on the curved objects is proposed based on the finite element shape function. The minimum bounding rectangle of the QR code symbol is used as the correction reference. With the four vertices and the four mid-points of contour lines of QR code symbol, the Pascal’s triangle shape function is performed to transform the distorted image into a standard rectangular relatively. At last, image re-sampling is performed to reconstruct the QR code image into a standard one.Finally, the decoding software for the standard QR code symbol is achieved according to the C++language after the national standard decoding algorithm is improved.

Related Dissertations

  1. Research on Temperature Measurement Technique Based on CCD Image Sensor,TH811
  2. Research on Basic Algorithms of Digital Image Processing and Implementation with FPGA,TP391.41
  3. Research of Images Enhancing Algorithms on Fog or Backlighting Conditions and Implementation with Hardwares,TP391.41
  4. Research on the Image Real-Time Acquisition, Storage and Image Processing System,TP391.41
  5. The Research of Decoding Algorithm for Statistical Machine Tranlation,TP391.2
  6. The Research of Moving Object Tracking System Based on Embeded Image Process Unit,TP391.41
  7. Research on Visual Servo System of Mechanical ARM,TP242.6
  8. Application Research of Digital Image Processing on Container Inspection,TP274.4
  9. Three-Dimensional Numerical Modelling for the Head and the Electric Field Analysis of DBS,R742.5
  10. Application of Semi-Structure in Leisure Dress,TS941.2
  11. Research on Nondestructive Detection Technology for External Qualities of Papayas Based-on Vision,S667.9
  12. Research on Detecting Optical Fiber Geometric Parameter Based on Machine Vision,TN253
  13. Research on Identification System of Cashmere and Wool Fiber,TS101.921
  14. Design of Garlic Planting Sorting Machine Based on Image Processing,S223.2
  15. Study on Detection and Grading of ’Jiro’ Persimmon’s External Quality Based on Computer Vision,S665.2
  16. Flow Behavior Description of Two-Phase Flow Based on Image Processing Techniques,TP391.41
  17. Active faults based radar image information extraction method applied research and demonstration,P542.3
  18. Research on License Plate Location Algorithm of License Plate Recognition System,TP391.41
  19. The Designing of HD Vehicle Detection System Based on Fpga,TP391.41
  20. System Designing to Analysis the Real-time Density of Group-control Elevator Passengers Flow,TP391.41
  21. Research on Face Recognition Methods Based on Flexible Neural Tree,TP391.41

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