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A Study of Vehicles’ License Plates Recognition under Complex Scenes

Author: ZhouKaiJun
Tutor: ChenSanBao
School: Wuhan University of Technology
Course: Control Theory and Control Engineering
Keywords: License Plate Location Character segmentation Plate calibration Fuzzy Neural Network License Plate Recognition
CLC: TP391.41
Type: Master's thesis
Year: 2006
Downloads: 472
Quote: 6
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Abstract


Car license plate recognition (License Plate Recognition System, LPR) as an important form of automatic target recognition , can be used for electronic toll collection , access control , traffic monitoring and many other occasions , the degree of automation to improve traffic management and its related technology research being gradually attention has been paid . In this paper, a parallel fuzzy neural network algorithm to the license plate characters to be recognized as the identification method , the main research complex environment license plate recognition , license plate recognition system to improve the overall recognition performance . The automatic vehicle number plate recognition system consists of three major modules that pretreatment of licenses , positioning , segmentation and recognition . License plate location and character segmentation is a key technology in the vehicle license plate recognition system . In this paper, an integrated edge detection , projection of license plate location method based on vertical projection and template matching character segmentation method , first gray - scale image edge extraction plate , and then using the projection method to determine the plate area , and then using the Hough transform to detect tilt angle license plate tilt correction, cutting, license plate character by character segmentation algorithm effectively solve the complex environmental disturbances , license plate tilt . Late technology for license plate recognition , license plate character recognition and the use of a new license plate recognition , license plate recognition subsystem by BP neural network recognition module and fuzzy controller , for ease of hardware implementation , the modules are independent of each other . On the basis of theoretical studies , first using Matlab tools and simulation system algorithm VC 6.0 programming tool , and then use the corresponding algorithm is constructed of a license plate recognition system software platform . : Edge detection algorithm detects edge fast , very clear outline of the plate area . Actually get the license plate of a large number of experiments , the results show that the location and character segmentation algorithm can accurately locate the license plate character segmentation has better robustness . The parallel fuzzy neural network identification method and standard BP network , the algorithm has good performance , to meet the requirements of real - time license plate recognition in a complex environment , has a certain theoretical and practical significance .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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