N. Shobha Rani1, *, M. Chandrajith2, B. R. Pushpa1, B. J. Bipin Nair1
CMC-Computers, Materials & Continua, Vol.62, No.2, pp. 679-694, 2020, DOI:10.32604/cmc.2020.08552
Abstract Assessing the age of an individual via bones serves as a fool proof method in
true determination of individual skills. Several attempts are reported in the past for
assessment of chronological age of an individual based on variety of discriminative
features found in wrist radiograph images. The permutation and combination of these
features realized satisfactory accuracies for a set of limited groups. In this paper,
assessment of gender for individuals of chronological age between 1-17 years is
performed using left hand wrist radiograph images. A fully automated approach is
proposed for removal of noise persisted… More >
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