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Method for quickly identifying any-angle alignment of express delivery surface

A fast technology at any angle, applied in character and pattern recognition, instruments, biological neural network models, etc., can solve problems such as inaccurate recognition of numbers, complicated and cumbersome manual input, and large errors

Inactive Publication Date: 2020-09-04
上海巨瓦信息科技有限公司
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AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a method for fast identification of express noodles at any angle, aiming to solve the existing machine recognition method in the prior art. There are also differences in the angle
In this case, the error will be relatively large, which will cause 80% of the pictures to be misjudged, and the numbers on the express side cannot be accurately recognized, the recognition effect is not good, and manual input is more complicated and cumbersome.

Method used

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  • Method for quickly identifying any-angle alignment of express delivery surface
  • Method for quickly identifying any-angle alignment of express delivery surface
  • Method for quickly identifying any-angle alignment of express delivery surface

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Embodiment 1

[0132] The present invention provides following technical scheme: comprise the following steps:

[0133] In this embodiment: S1: According to the randomly captured pictures, the computer vision neural network needs to automatically identify and distinguish the problem of the real needed tracking number image information on the required courier tracking number, and eliminate irrelevant identification areas in the captured pictures:

[0134] Specifically, firstly, it is necessary to solve the real relevant and required image recognition and positioning problem to be captured according to the needs, so the following sub-steps need to be carried out:

[0135] Step 1: Improve the positioning accuracy of the captured image (improve the input image effect):

[0136] By physical treatment:

[0137] ①Using high-definition camera, most of the shots are high-definition industrial high-precision scanning heads;

[0138] The purpose is to ensure a more precise image resolution during the...

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Abstract

The invention provides a method for quickly identifying the straightening of an express delivery surface at any angle and belongs to the field of express single-sided identification. According to randomly-shot pictures, a computer visual neural network automatically identifies and distinguishes actually required parcel number image information on required parcel number. A high-definition camera anda photoreceptor are used for conveniently carrying out high-precision shooting processing on the single side of the parcels in the daily use process, and the photoreceptor is used for conveniently reducing the shaking feeling of a lens to the maximum extent in the manual shooting process and improving the shooting effect on the parcel number.

Description

technical field [0001] The invention belongs to the technical field of single-sided identification of express delivery, and in particular relates to a method for fast identification of express delivery surface at any angle. Background technique [0002] The existing machine recognition method is if it is a picture of the express delivery list, because the express delivery list is different, and the angle of shooting is also different. In this case, the error will be relatively large, which will cause 80% of the pictures to be misjudged, and the numbers on the express side cannot be accurately recognized, the recognition effect is not good, and manual input is more complicated and cumbersome; [0003] When the Hough transform method is used, if the straight line features are extracted, and then the picture is straightened according to the straight line features, it has certain limitations. The computer cannot know the orientation of the picture, and the recognition effect is ...

Claims

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Application Information

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IPC IPC(8): G06K9/20G06K9/32G06K9/62G06N3/04
CPCG06V10/22G06V10/243G06N3/047G06N3/045G06F18/24155G06F18/214
Inventor 陈锟颜荣
Owner 上海巨瓦信息科技有限公司
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