DocumentCode :
2271204
Title :
Automatic identification technology research on Opto-electronic hybrid pattern recognition system
Author :
Xu Yi ; Liu Zhong ; Wen Jun
Author_Institution :
Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear :
2010
fDate :
28-30 July 2010
Firstpage :
119
Lastpage :
121
Abstract :
Opto-electronic hybrid optical pattern recognition technology has many advantages, but must to recognize the correlation-peak from lots of noise. This paper analyzes the deference of correlation-peak image and the noise, and researches on the contour distribution of the image of the correlation-peak and the noise. So, bring forward using the BP network of the ANN to distinguish the signal and noise automatically. The experiment results show the effectiveness of the method.
Keywords :
correlation methods; optoelectronic devices; pattern recognition; ANN; BP network; automatic identification technology; bring forward; contour distribution; correlation peak image; optoelectronic hybrid pattern recognition system; Accuracy; Noise; Optical imaging; Optical noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, Circuits and Systems (ICCCAS), 2010 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8224-5
Type :
conf
DOI :
10.1109/ICCCAS.2010.5582038
Filename :
5582038
Link To Document :
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