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Journal of Applied Sciences

Year: 2002 | Volume: 2 | Issue: 3 | Page No.: 281-287
DOI: 10.3923/jas.2002.281.287
Object Recognition Using ANN with Backpropogation Algorithm
I.M. Qureshi and A. Jalil

Abstract: An object recognition procedure using artificial neutral network is proposed in this paper. This algorithm will recognize objects in the images which are invariant to rotation, translation and scaling of objects. The Sobel operators are proposed to detect the boundary of the object. A Fourier descriptor pattern classifier is able to classify object without regard to rotation, translation and scale variation. Fourier descriptors of boundary image generate Feature vectors by truncation the high frequency components. A back-propagation neural network is proposed to recognize the object based on these Feature vectors.

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How to cite this article
I.M. Qureshi and A. Jalil, 2002. Object Recognition Using ANN with Backpropogation Algorithm. Journal of Applied Sciences, 2: 281-287.

Keywords: Object recognition, edge detection, feature vector, back-propagation, algorithm and neural networks

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