Recently, from the facial images, the estimation of age automatically is a raising research area. Several studies have been conducted in the detection of age strategy, however, some studies only show better performance It is because of the great control of the external metrics namely lifestyle, environment, and numerous expression that are available in the face image. The main aim of this work is to present an MLP-NN with the WOA in order to detect the age from the face image. The developed Whale MLP-NN model is used to recognize the person's age in the image via the initial training with the facial features. In order to train the adopted optimization model, the features are offered using the AAM and scattering transform. Moreover, to detect the age, the optimal weights are exploited, and that is provided by the features with the Whale MLP-NN training. Finally, the experimental analysis exhibits that the developed optimization model is performed using the databases on the basis of measures namely AEO, MAE, and AEM.
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