• Ruchi Bhattacharya
• Anil Kumar Pandey
• Rahul Mishra

This paper presents a hypothesis and practical calculations for visual age classification from facial images. Presently, the hypothesis has just been executed to order input images into one of three age groups: babies, youthful grown-ups, and senior grown-ups. The calculations depend on cranio-facial improvement hypothesis and skin wrinkle investigation. In the usage, essential highlights of the face are discovered first, trailed by auxiliary element examination. The essential highlights are the eyes, nose, mouth, jaw, virtual-top of the head and the sides of the face. From these highlights, proportions that recognize babies from youthful grown-ups and seniors are processed. In optional element investigation, a wrinkle geology map is utilized to control the identification and estimation of wrinkles. The wrinkle list processed is adequate to recognize seniors from youthful grown-ups and babies. A blend rule for the proportions and the wrinkle file in this way allows arrangement of a face into one of three classes. Results utilizing genuine images are exhibited. This is the main work including age classification, and the principal work that effectively concentrates and uses regular wrinkles.

Aging, Face Recognition, Age Invaient Face Recognition, Age Classification.

"CLASSIFICATION OF DIFFERENT AGE GROUP PEOPLE FROM FACIAL IMAGE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.650-658, June-2019, Available :http://www.jetir.org/papers/JETIR1906382.pdf

"CLASSIFICATION OF DIFFERENT AGE GROUP PEOPLE FROM FACIAL IMAGE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp650-658, June-2019, Available at : http://www.jetir.org/papers/JETIR1906382.pdf