INTERNATIONAL JOURNAL OF INNOVATIONS IN APPLIED SCIENCES & ENGINEERING

International Peer Reviewed (Refereed), Open Access Research Journal

(By Aryavart International University, India)

E-ISSN:2454-9258 | P-ISSN:2454-809X | Estd Year: 2015

Impact Factor(2020): 4.805 | Impact Factor(2021): 5.246

ABSTRACT


FACIAL FEATURE EXTRACITON: CLASSIFICATION OF AGE GROUP USING HAAR CASCADE AND KNN ALGORITHMIC MODELLING

Rishit Kalra

Vol. 5, Jan-Dec 2019

Page Number: 005-010

Abstract:

Detection of various facial expression like OCR and gender has been broadly observed,persons profile and age group has been investigated. with the change of people’s age, face feature has also been changed. This paper includes three stages:feature extraction of faces, places, and classification. the geometric elements of face image like wrinkle,topography, face boundaries, distance between left and right eyes, eyes to nose connection points,lips to eyes and jaw to eye distance are calculated.This approach is done by using k-means clustering.

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