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International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 9    
Website: http://www.ijser.org
scirp IJSER >> Volume 3,Issue 9,September 2012
Novel Feature Fusion Method of Object Recognition Using Wavelet Transform
Full Text(PDF, )  PP.150‐159  
V.Subbaroyan, Dr.Selvakumar Raja
Colour moments, Object recognition, Gradient, Histogram, KNN Classifier, Texture, Wavelet transform
In this paper we propose a novel approach to recognize multiple view objects, considering features from frequency as well as spatial domains. A colour descriptor based on HSV histogram is used to obtain the spatial features using the colour moments. The frequency features are obtained using Discrete Wavelet Transform (DWT). The two features are then combined to get a feature set that describes the object more accurately. The extracted features are used as an input to the K Nearest Neighbor (K-NN) for classification. The evaluation of the system is carried on using COIL database and the performance of the proposed system is studied by varying the training set sizes. The study also includes the effect of noise and occlusion. Experimental results show that the proposed method of object identification is more accurate. 
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