@inproceedings{97570ce9d92a4ea9a8bbeccb0a3fe666,
title = "Digital Meter Recognition Method Based on Topological Features of Image Contour",
abstract = "With the rapid development of production automation and industrial intelligence, automatic recognition of digital meter readings has played a significant part in this trend of information revolution. To meet the higher and higher demand of recognition on IoT terminals with efficiency and accuracy, a method based on topological features of image contour is proposed. Image contours are classified according to size and bounding hierarchy during the reading location process, from which expected digits can be selected with the priori knowledge of the meter. The effectiveness of the algorithm is experimentally validated in complex environments.",
keywords = "digital meter, image contour, image processing, machine vision, meter recognition",
author = "Yichen Zhang and Xinxin Yang and Tao Hong and Chao Huo",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB 2019 ; Conference date: 05-06-2019 Through 07-06-2019",
year = "2019",
month = jun,
doi = "10.1109/BMSB47279.2019.8971942",
language = "英语",
series = "IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB",
publisher = "IEEE Computer Society",
booktitle = "2019 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB 2019",
address = "美国",
}