Title :
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
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;
Conference_Titel :
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6347-3
DOI :
10.1109/ICCET.2010.5486243
