A hybrid feature extraction method-based object recognition by neural network

This paper presents a neural based approach for rotated object recognition in still black and white images. The system comprises two phases: extraction of information from edge of the objects known as feature extraction and classification of objects by artificial neural network (ANN) trained with ba...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Wahi, A., Athiq, F.M., Palanisamy, C.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	ANN Artificial neural networks Data mining Discrete Fourier transforms Discrete wavelet transforms Edge Image Feature extraction Filters Image converters Image processing Neural networks Object recognition Preprocessing
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