Image Recognition Using Combination of Discrete Multi_Wavelet and Wavenet Transform

Abstract

Focus of the method was to present image identification and labeling using new combination of dynamic transforms. This method is based on using the combination of the Discrete Multi-wavelet Transform (DMWT) and Wavenet Transform (WN). In this method, the resulting coefficients were computed by the proposed multi-wavelets transform for single-level decomposition. The low pass sub bands of the upper left corner are considered in the proposed method as a resemblance and a smaller version of the original image. The Wavenet Transform (WN) of low -low coefficients will be obtained one after another and the outcome from the band pass sub bands of the lower right corner is the feature extraction of each image to the recognition identification of the image. This method gave an excellent result: 99% for a database of 100 different images which indicate that the suggested algorithm is an excellent tool to process the database of standard pose of image. The algorithm is implemented using MATLAB programming languages version 7.

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