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An algorithm is presented in this paper which advances research in noisy background target recognition. This recognition process first uses an enhancement algorithm which extracts edges from an input scene. The edge enhanced target scene is searched with an edged object template and the correlation output displayed. High correlation peaks could be targets or high energy noise correlated with the edged template. To distinguish between these two conditions, the correlation peaks are used as centers for normalization of the input scene. An area equal to the size of the target is normalized to the template energy around each correlation center, the rest of the image being blanked, and the new scene is recorrelated with the template.