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低成本光学字符识别读表系统研制

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Instrumentation and Equipments 仪器与
Develop of Low Cost Meter Reading System  
by Optical Character Recognition  
Siqi Peng, Linxiao Tian, Miaomiao Zhu, Kehua Zhang*  
College of Engineering, Zhejiang Normal University, Jinhua Zhejiang  
Received: Aug. 15th, 2017; accepted: Sep. 1st, 2017; published: Sep. 7th, 2017  
Abstract  
In order to realize low cost optical character recognition and storage of recognition data, the opti-  
cal character recognition meter reading system based on Raspberry Pi was built. At the same time,  
we studied the algorithms of optical recognition, data storage and image processing used in this  
system. First, an image with a meter digital is obtained from the camera. Second, using Open CV to  
perform image preprocessing such as normalized size, grayscale processing, Gaussian blur, bina-  
rization processing, extraction of connectivity areas. Finally, using Tesseract for OCR recognition  
to obtain, record and store optical character data. Under the light environment designed by the  
system, the experimental results show that the accuracy of rate of digital recognition can  
achieve 100% and recognition time is less than 1 second after preprocessing. The optical cha-  
racter recognition system basically meets the requirements with high accuracy, fast speed and  
good stability.  
Keywords  
Computer Vision, Image Processing, OCR, Digit Recognition  
低成本光学字符识别读表系统研制  
彭思淇,田林晓,朱苗苗,张克华*  
浙江师范大学工学院,浙江 金华  
收稿日期:2017815日;录用日期:201791日;发布日期:201797日  
摘 要  
为了实现低成本的光学识别以及对识别数据的云传输和储存,基于Raspberry Pi建立了通过光学字符识  
*通讯作者。  
, 张克华. 低成本光学字符识别读表系统研制[J]. 仪器与设备, 2017, 5(3): 55-62.  
DOI

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