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Research and Implementation of Container Number Identification Based on Video

Author: WangYongLiang
Tutor: BiSheng
School: Dalian Maritime University
Course: Information and Communication Engineering
Keywords: Container number Video identification system Depth correction Module identification
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 90
Quote: 1
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Abstract


With the development of information technology and computer technology, the container number recognition system has been an unprecedented development. After the bar code identification system to identify the number of the container, and develop a video recognition system. Video identification systems, bar code identification system has enhanced the performance and advantages of the Container Number intelligent recognition system of the world in most cases, is a video identification systems, barcode recognition system based container number recognition already basically quit the stage of history. Although container p video identification system has many advantages, but this system there are also some disadvantages. Such as by fog, rain, oil, container surface bump crease factors. Under the influence of these factors, the number of the container character distorted or missing, making the recognition rate of the system by a certain influence. For this reason, many researchers involved in the improvement of this system. In order to reduce the container surface irregularities crease brought to the designed depth correction algorithm the container surface creases slant processing and achieve the desired effect. Depth correction algorithm using computer vision technology and digital image technology knowledge combined with container priori knowledge, has a certain practicality. This algorithm is in accordance with the relevant knowledge of the container standards, the position and width of the vertical projection to determine irregularities crease, affine transformation, and then it corrected crease ramps, the purpose of the character of the surface of the corrective crease. Image preprocessing part, this article uses a piecewise linear function enhanced image median filtering denoising, geometric correction, the operation of the the Hough Transform tilt correction. This paper a priori knowledge of the number of the container area, with a canny edge detection methods, expansion corrosion method to determine the number area. In this paper, the method of the vertical projection of split characters and determines the character width, then subjected to normalizing a standardized, and the module matches the recognition method of character recognition, derived recognition result. This article is the algorithm of the container video identification system has been improved, and simulation experiments in the Matlab platform to realize the function of the algorithm, the experimental results to achieve the desired goals.

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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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