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WAVELETS AS FEATURES FOR OBJECTS RECOGNITION

In this paper, we mainly concentrate on the recognition module of an object detection and recognition system. Two types of images, visible and infrared, are investigated in order to improve the objects detection and recognition process. Different types of mother wavelets (Haar, Daubechies, Coiflet, Symlet, Biorthogonal, Fractional causal or generalized, etc.) are used to extract the wavelet coefficients which will constitute the feature vector. The obtained feature vector then will be fed to a KNN classifier, in order to classify the object in one of the possible object’s classes used in the training step.