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Research of Automatic Recognition of Digital Meter Reading Based On Intelligent Image Processing

机译:基于智能图像处理的数字抄表自动识别研究

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摘要

With the rapid development of intelligent building,the requirement of automatic recognition of digital meter reading is increasingly urgent. Based on image processing,this article uses iterative global threshold to binarize the images and then adopts projection method to locate the target regions and divide the numbers. Features are extracted and backpropagation neural network is used to read the numbers automatically and contributes to a high accuracy of recognition rate.
机译:随着智能建筑的飞速发展,对数字抄表自动识别的要求越来越迫切。本文在图像处理的基础上,采用迭代全局阈值对图像进行二值化处理,然后采用投影法对目标区域进行定位并进行数字除法。提取特征并使用反向传播神经网络自动读取数字,从而有助于提高识别率的准确性。

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