publication . Article . 2021

Comparative Analysis of Machine Learning Based Approaches for Face Detection and Recognition

Ratnesh Kumar Shukla; Arvind Kumar Tiwari;
Open Access Persian
  • Published: 01 Jan 2021 Journal: Journal of Information Technology Management, volume 13, issue 1, pages 1-21 (issn: 2008-5893, eissn: 2423-5059, Copyright policy)
  • Publisher: University of Tehran
Abstract
This article discusses a device focused on images that enables users to recognise and detect many face-related features using the webcam. In this article, we are performing comprehensive and systemic studies to check the efficacy of these classic representation learning structures on class-imbalanced outcomes. We also show that deeper discrimination can be learned by creating a deep network that retains inter-cluster differences both and within groups. MobileNet, which provides both offline and real-time precision and speed to provide fast and consistent stable results, is the recently suggested Convolutional Neural network (CNN) model. The recently proposed Con...
Subjects
free text keywords: biometric machine, convolution neural network, deep neural network, facial action unit, random convolution neural network etc, Information resources (General), ZA3040-5185
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