Title :
Design and implementation of artificial intelligence system for 2-dimensional image recognition
Author :
Horani, M.E.D. ; Sukker, F. ; Horo, Eng A H
Author_Institution :
Al Assad Acad., Syria
Abstract :
This paper aims at introducing an application of 2-dimensional image recognition using neural network method. So, an artificial intelligence system was designed to recognize images. Principal component analysis (PCA) was adopted to extract and select the features from images that are fast and the most used one in image recognition using artificial neural networks. The studied neural network with 2-dimensional image recognition system was according to the backpropagation principle.
Keywords :
artificial intelligence; backpropagation; feature extraction; image recognition; neural nets; principal component analysis; 2D image recognition; PCA; artificial intelligence system; artificial neural network; backpropagation principle; feature extraction; principal component analysis; Artificial intelligence; Artificial neural networks; Covariance matrix; Data mining; Image converters; Image recognition; Neural networks; Neurons; Pattern analysis; Pattern recognition;
Conference_Titel :
Information and Communication Technologies: From Theory to Applications, 2004. Proceedings. 2004 International Conference on
Print_ISBN :
0-7803-8482-2
DOI :
10.1109/ICTTA.2004.1307833
