RETRACTED: Facial Recognition Using Aggregation and Random Forest Classification Method

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...

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Bibliographic Details
Published in:Journal of physics. Conference series 2019-11, Vol.1362 (1), p.12078
Main Authors: Aishwarya, K., Kumar, B. Suresh, Raju, S. Viswanadha
Format: Article
Language:English
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Summary: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.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1362/1/012078