Container number identification method and device

A recognition method and a box number technology, applied in character recognition, character and pattern recognition, instruments, etc., can solve the problems of increased labor costs and circulation time, low accuracy of incomplete character recognition, and inability to complete segmentation, etc., to reduce calibration To test and record costs, speed up work efficiency, and reduce the effect of turnover time

Pending Publication Date: 2020-08-21
福建电子口岸股份有限公司
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AI Technical Summary

Problems solved by technology

However, since there is no unified standard for the automatic identification of container numbers in the world, image processing technology is mainly used to realize the automatic identification of container numbers at present.
However, the wrongly identified containers can only be recorded and checked by manual identification, which undoubtedly increases labor costs and transit time
[0004] At present, the box number recognition system cannot completely segment the incomplete and glued characters in the box number;

Method used

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  • Container number identification method and device
  • Container number identification method and device
  • Container number identification method and device

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Example Embodiment

[0039] The present invention will be further described below through specific embodiments.

[0040] A method for identifying box numbers includes the following steps:

[0041] 1) Enter the original picture of the container, see figure 1 , It is not limited to grayscale images, but can be color images.

[0042] 2) Use the image semantic segmentation model for rough positioning of the box surface, segment the container in the image, perform image preprocessing, and get the box image, see Figure 5 .

[0043] The image semantic segmentation model in this step is used to achieve classification at the pixel level. It can be implemented by semantic segmentation methods such as TextonForest, random forest classifiers or deep learning methods. Preferably, image semantic segmentation based on convolutional neural networks is used. Model, its network structure is like image 3 , From left to right are: convolutional layer, pooling layer, upsampling layer, convolutional layer, upsampling layer a...

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Abstract

The invention discloses a container number identification method and device. The method comprises the following steps: 1) inputting an original picture of a container; 2) carrying out container surface coarse positioning by using an image semantic segmentation model, segmenting a container in the image, and carrying out image preprocessing to obtain a container type image; 3) conducting text detection on the container type image through a CPTN model; 4) conducting OCR recognition on all results of text detection through a CRNN model, and 5) regularizing recognition results according to a container number format and outputting a final container number.

Description

technical field [0001] The invention relates to the field of containers, in particular to a container number identification method and device. Background technique [0002] With the advancement of science and technology and the huge growth of trade among countries around the world, the logistics and transportation industry has accelerated its development year by year, and the global shipping volume has hit new highs year by year. As the main transportation and loading method of ocean transportation, containers play a very important role in ocean transportation. While shipping is booming, the management of containers requires more modern means to achieve the purposes of tracking a huge number of containers, cargo transfer and cargo ship storage planning. [0003] The container number is the unique identification code of each container. Automatic identification of the container number is the basis for various efficient management operations on the container, such as: affiliat...

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Application Information

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IPC IPC(8): G06K9/32G06K9/34G06K9/62G06N3/04
CPCG06V20/62G06V10/267G06V30/10G06N3/045G06F18/24323
Inventor 王宸罗永祥刘键涛魏秋新
Owner 福建电子口岸股份有限公司
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