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Freight car number identification system based on image processing

A technology for truck number recognition and image processing, which is applied in the field of truck number recognition systems to achieve the effect of overcoming ambiguity

Inactive Publication Date: 2014-12-24
南京恒誉名翔科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There are many difficulties in the positioning and identification of truck numbers

Method used

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  • Freight car number identification system based on image processing
  • Freight car number identification system based on image processing

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0019] combine figure 1 , figure 1 It shows the simple framework of the vehicle number recognition system, mainly uses the digital image processing technology based on Visual C++ to program, process, and complete the grayscale, edge extraction, binarization, and tilt correction algorithms involved in the preprocessing. and get good results.

[0020] The present invention adopts the weighted average method to carry out grayscale processing, because R, G, and B have different influences on image colors, and human beings are least sensitive to B, slightly stronger to R, and most sensitive to G, and then according to some other According to the experimental conclusion, we can assign different weights Wr, Wg, and Wb to R, G, and B, and then use the following equation: that is, R=G=B=(WrR+WgG+WbB) / 3. Through years of research and practice, it has been found that the most reasonable weights are Wr=0.30, Wg=0.59, Wb=0.11. That is, when Vgray=0.30R+0.59G+0.11B; R=G=B=Vgray, the The ...

Embodiment 2

[0030] A truck number recognition system based on image processing, the recognition system adopts the following steps for recognition:

[0031] 1. Locating the vehicle number: Filter and enhance the boundaries of the collected video images or static pictures, and automatically find the position of the vehicle number in the collected car images;

[0032] 2. Image preprocessing: grayscale, equalization, edge processing, binarization and other processing are performed on the vehicle number image to prepare for the next step;

[0033] 3. Character segmentation: segment the vehicle number area into individual character areas, prepare for character recognition, and overcome problems such as blurring and character breaks;

[0034] 4. Character recognition: This process is pattern recognition;

[0035] The present invention may also include:

[0036] (a) The edge image is processed by the method of expansion, and the definition formula of expansion is:

[0037] (1),

[0038] Amo...

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PUM

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Abstract

The invention discloses a freight car number identification system based on image processing. The system conducts identification through the following steps that 1, a car number is positioned, wherein collected video images or static pictures are subjected to filtering, boundary enhancement and other processing, and the position of the car number is found automatically in the collected carriage image; 2, the images are preprocessed, wherein the car number image is subjected to graying, equalization, edge processing, binarization and other processing to make preparation for work in the next step; 3, characters are divided, wherein a car number area is divided into individual character areas to make preparation for character identification and solve the problems of ambiguity, character breakage and the like; 4, the characters are identified, and the process is a pattern recognition process.

Description

technical field [0001] The invention relates to an image processing and pattern recognition method, in particular to a truck number recognition system based on image processing. Background technique [0002] The research on the car number of railway freight cars in foreign countries was earlier. In the late 1960s and early 1970s, foreign railway systems began to study the automatic identification of car numbers. Due to the influence of technological development at that time, technologies such as color barcodes, magnetic induction, and surface acoustic waves were usually used to realize the automatic identification of trucks. High and poor anti-interference performance and other technical problems, so it has not been widely used. In the 1980s, with the continuous development of computer technology and microwave technology, many foreign companies are committed to the use of microwave reflection modulation technology to realize the automatic identification of locomotives and t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
Inventor 费浚纯
Owner 南京恒誉名翔科技有限公司
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