Research of automatic recognition of digital meter reading based on intelligent image processing

Author

Bai, Qiushi ; Zhao, Limeng ; Zhang, Yunzhou ; Qi, Zixin

Author_Institution

Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China

Volume

5

fYear

2010

fDate

16-18 April 2010

Abstract

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 back-propagation neural network is used to read the numbers automatically and contributes to a high accuracy of recognition rate.

Keywords

backpropagation; computerised instrumentation; feature extraction; image recognition; meters; neural nets; automatic recognition; back-propagation neural network; digital meter reading; feature extraction; intelligent building; intelligent image processing; iterative global threshold; number recognition; Educational institutions; Histograms; Image processing; Image recognition; Information science; Instruments; Intelligent structures; Iterative methods; Meter reading; Neural networks; digital meter; image processing; neural network; number recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Engineering and Technology (ICCET), 2010 2nd International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-6347-3

Type

conf

DOI

10.1109/ICCET.2010.5486243

Filename

5486243