A Number identification method for gas meter number wheel

A recognition method and gas meter technology, applied in the field of digital recognition, to achieve accurate results, improve recognition accuracy, and improve processing speed

Active Publication Date: 2019-04-16
SHIJIAZHUANG KE ELECTRIC
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0004] Chinese patent application "Digital Recognition Method and Device and Neural Network Training Method and Device" (appli...

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  • A Number identification method for gas meter number wheel
  • A Number identification method for gas meter number wheel
  • A Number identification method for gas meter number wheel

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Embodiment Construction

[0049] The present invention will be further described below in conjunction with the accompanying drawings.

[0050] Figure 8 It is a processing flowchart of the present invention, which will be described in detail below.

[0051] A method for recognizing numbers on a character wheel of a gas meter. Firstly, a digital image is obtained from a picture, and then the digital image is recognized through a trained neural network.

[0052] Acquire digital images.

[0053] In this embodiment, the picture size is 720*64.

[0054] Acquiring a digital image from a photograph involves the following steps.

[0055] A. Convert photos from RGB color space to YUV color space.

[0056] The color clustering feature is good in the YUV color space, first convert the photo to the YUV color space.

[0057] The formula for converting RGB to YUV is:

[0058] Y= 0.229*R+0.587*G+0.114*B

[0059] U=-0.169*R-0.331*G+0.5*B

[0060] V= 0.5*R-0.419*G-0.081*B

[0061] B. Find the red area and black ...

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Abstract

The invention discloses a gas meter character wheel number identification method, relates to a number identification method, and is particularly suitable for carrying out centralized identification ondigital pictures with uniform styles on a gas meter character wheel. The method comprises the following steps: acquiring a digital image from a picture, and identifying the digital image through a trained neural network; When a digital image is acquired, firstly, determining a red area and a black area on a photo, dividing then the photo into single numbers, and acquiring three-dimensional digital images after processing; And training the neural network model by using the three-dimensional digital image, identifying the to-be-identified digital image, and fusing identification results of several neural networks to complete identification. The method comprises the following steps: firstly, identifying a red region on a photo, and quickly positioning a region where a digital image is located; During the period of obtaining the digital image, unrecognized photos can be removed; The to-be-identified digital area adopts secondary positioning, so that the obtained result is more accurate; Different samples are adopted as a training set in different dimensions, three network models with different recognition effects are obtained for recognition, and the recognition accuracy is improved after recognition results of the three networks are fused.

Description

technical field [0001] The invention relates to a digital recognition method, which is especially suitable for centralized recognition of digital pictures with a uniform style on the character wheel of a gas meter, and belongs to the technical field of digital image recognition. Background technique [0002] At present, the gas meters in our country still use a large-scale mechanical gear structure, requiring meter readers to read meters by households, which consumes manpower, because the need to read meters at households also brings a lot of inconvenience to the owners. In recent years, some companies have installed electronic trigger devices on gas meters, and the readings of the gas meters will trigger a pulse for counting. However, this technology requires the disassembly and installation of the existing gas meter devices, which requires a lot of put in. Without destroying the existing gas meter structure, adding a fixed image acquisition module, and then using image re...

Claims

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Application Information

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IPC IPC(8): G06K9/20G06K9/46G06N3/04
CPCG06V10/22G06V10/56G06N3/045
Inventor 常生强袁玉宝陈贺平凯吴新兵曹晓光杜宝瑞李晓楠翟志国李春海陆志远王会平王宁杜晓刚张伟郝雪洁张向平张奎仲徐宪清刘海涛王强
Owner SHIJIAZHUANG KE ELECTRIC
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