DocumentCode
2407899
Title
Recognition of the numbers of numerical civilian instrumentations based on bp neural network
Author
Bai, Qiushi ; Zhang, Yunzhou ; Tan, Jiyuan ; Zhao, Limeng ; Qi, Zixin
Author_Institution
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
fYear
2009
fDate
15-16 May 2009
Firstpage
105
Lastpage
108
Abstract
With the rapid development of intelligent building, the requirement of automatic number identification of civilian instrumentations is increasingly urgent. This article uses iterative global threshold to binarize the images and then adopts projection method to locate the target regions and divide the numbers. The back-propagation neural network is used to recognize the numbers. The result indicates that the recognition rate is above 98%.
Keywords
backpropagation; computerised instrumentation; image recognition; image segmentation; neural nets; automatic number identification; back-propagation neural network; intelligent building; iterative global threshold; numerical civilian instrumentations; projection method; Character recognition; Gray-scale; Histograms; Image recognition; Instruments; Intelligent structures; Iterative methods; Neural networks; Pattern recognition; Pixel; BP; civilian instrumentation; neural network; number recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Mechatronics and Automation, 2009. ICIMA 2009. International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-3817-4
Type
conf
DOI
10.1109/ICIMA.2009.5156571
Filename
5156571
Link To Document