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低成本光学字符识别读表系统研制
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(完整内容请下载后查看)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:2017年8月15日;录用日期:2017年9月1日;发布日期:2017年9月7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。
文苗, 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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