Human Age Group Prediction from Unknown Facial Image

In today’s internet era, Age Specific Human-Computer Interaction (ASHCI) is widely demanded by numerous applications in daily life for smart communication over the digital communication devices. This helps to automatically choose the vocabulary, interface and services that suit the customer's age. More cleverly, the web browser can determine by itself, whether the user satisfies the age limitation to view certain web pages and also vending machine will refuse to sell alcohol or cigarettes to the under-age people. This paper uses the multiple facial features from the mug-shot images for classifying them into appropriate age group. Keywords— Human Age Detection, Face detection, Age Estimation, Automatic Age Identification, Forensic Science, Human Computer Interaction, Computer Vision, Cognitive Science, Medical Imaging.

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