Paper addresses the problem of cloning the input image, especially for frontal face image recognition. Presented are two methods of cloning, one based on procedure of downsampling, and other based on modified wavelet transform. Implementations of both procedures are described as well as salient features of "clone-images ", making it useful for image recognition. Cloning enables application of strong classification methods, e.g. linear discriminant analysis (LDA) by avoiding the small sample size problem. Application of "cloning + LDA" is illustrated by face recognition problem with one training image per person.
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