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Existing age estimation algorithms based on facial images have been showing high dependency on the age range with the range 29–49 yielding the best estimation results. This paper introduces a new multi-stage binary age estimation (MSAE) system configured as a network of decision making neural network (NN) and support vector machine (SVM) units. The decision making process was based on the classification...
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