DocumentCode :
1815824
Title :
Image recognition via discrete Hopfield neural network
Author :
Lin, Qian ; Cai, Peng ; Zhang, Feng
Author_Institution :
Sch. of Electron. Inf. & Electr. Eng., Shanghai Jiao Tong Univ., Shanghai, China
fYear :
2010
fDate :
19-20 June 2010
Firstpage :
339
Lastpage :
342
Abstract :
The contemporary digital society is filled with the image world. Image digitization not only standardizes the image storage but also benefits the image recognition based on the computational methods. By the nature of Hopfield neural network, associative memory based on this mechanism can be effectively adopted for the image recognition application. This paper proposes the design and the prototype implementation of image recognition through discrete Hopfield neural network. Experiments demonstrate that our approach can recover the dirty image such as fragment or noisy picture by a high percentage of possibility.
Keywords :
Hopfield neural nets; image recognition; associative memory; computational method; discrete hopfield neural network; image digitization; image recognition; image storage; Educational institutions; Pixel; DHNN; Hopfield; associative memory; image recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advances in Energy Engineering (ICAEE), 2010 International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-7831-6
Type :
conf
DOI :
10.1109/ICAEE.2010.5557547
Filename :
5557547
Link To Document :
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