Open AccessRETRACTED: Facial Recognition Using Aggregation and Random Forest Classification Method
Author(s) -
K. Aishwarya,
B. Suresh Kumar,
S. Viswanadha Raju
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1362/1/012078
Subject(s) - biometrics , computer science , random forest , facial recognition system , artificial intelligence , authentication (law) , face detection , face (sociological concept) , feature (linguistics) , three dimensional face recognition , law enforcement , pattern recognition (psychology) , machine learning , computer vision , computer security , social science , linguistics , philosophy , sociology , law , political science
Face detection and recognition performs an essential role in computer. There was tremendous increase in face recognition during the last years. There are numerous applications that require the face detection. As this face detection is the first step. There are many growing applications such as bank authentication, security access in system, enforcement of law, verification of credit cards, biometric authentication which works based on face detection. The goal of this paper is to presents a facial recognition system with deep learning methodologies. In this paper machine learning aggregation method is used to store the feature of detecting image and random forest algorithm also used to classify a detected image which is applied on face database and compared with previous algorithm which shows accurate ratio.