Abstract
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.
Export citation and abstract BibTeX RIS
Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
This article has been retracted by IOP Publishing following an allegation that this article may contain tortured phrases [1].
IOP Publishing has investigated and agrees the article contains a number of nonsensical phrases that feature throughout the paper [2], to the extent that the article makes very little sense. This casts serious doubt over the legitimacy of the article.
IOP Publishing wishes to credit PubPeer commenters [3] for bringing the issue to our attention. The authors neither agree nor disagree to this retraction.
[3] Cabanac G, Labbe C, Magazinov A, 2021, Tortured phrases: A dubious writing style emerging in science. Evidence of critical issues affecting established journals, arXiv:2107.06751v1
[2] K. Aishwarya et al 2019 J. Phys.: Conf. Ser. 1362 0120783
[3] https://pubpeer.com/publications/DA5C7D9046A9078D657EEF2D704699