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Object Recogniton Based on Undecimated Wavelet Transform

R.Umagowri,N.Soundararajan, B.Sakthisree

Published in:   Vol. 8 Issue 2 Date of Publication:   December 2019
Page(s):   44-46 Publisher:   Integrated Intelligent Research (IIR)
DOI:   10.20894/IJCOA. SAI : 2018SCIA316F0927

Object Recognition (OR) is the mission of finding a specified object in an image or video sequence in computer vision. An efficient method for recognizing object in an image based on Undecimated Wavelet Transform (UWT) is proposed. In this system, the undecimated coefficients are used as features to recognize the objects. The given original image is decomposed by using the UWT. All coefficients are taken as features for the classification process. This method is applied to all the training images and the extracted features of unknown object are used as an input to the K-Nearest Neighbor (K-NN) classifier to recognize the object. The assessment of the system is agreed on using Columbia Object Image Library Dataset (COIL-100) database