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Survey on Feature Extraction methods in Object Recognition

Feature extraction is the key process in any pattern recognition issues. There is no exception in object recognition. In this paper, several feature extraction approaches in the field of object recognition are summed up. Zernike and Hu are two invariant moments and geodesic descriptors are applied directly to binary images and so we can have more information about the general shape of the object. The extracted vectors are put together to form a unique input data to the Neural network for object recognition. Keywords—component;Neural Network; Zernike moments; Hu moments; Geodesic descriptors; 3D object recognition.