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We propose a morphological quantitative evaluation method for the aging analysis of the handback skin. First of all, the non-invasive method of digital imaging technology is adopted to get the handback skin morphological data. Then, based on the algorithms of gray-level co-occurrence matrix and displacement co-occurrence matrix, morphological features of the individual handback skins are measured. Finally, we analyse the relationship between the experimental results and skin aging for both methods. This work is one of the explorations for the handback skin aging analysis by morphological quantitative evaluation method, and it is significance for the evaluation of the ozone depletion and the effectiveness of skin care.