Age Group Estimation Based on the Transition Count of 3rd Order Neighborhood using V and Inverted V Patterns
Moka Uma Devi*,
Uppu Ravi Babu
Abstract:Age Classification is used in so many applications like crime detection, face detection and so on. . The age leads to significant variation in human face. The variation depends on many factors like gender, exposure to sunlight, drinking, weight loss or weight gain. In our paper the performance of face aging is established based on v pattern and Inverted v pattern by using the transition count of third order neighborhood. In our proposed method the age of the person is divided into 5 categories 1.Childhood (0-1… Show more
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