Evaluation of composite material based on different phases of Face recognition System

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Year : June 5, 2024 at 4:20 pm | [if 1553 equals=””] Volume : [else] Volume :[/if 1553] | [if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] : | Page : –

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Neha Shrotriya, Veena Yadav, Geeta Tiwari, Shilpa Kalra

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  1. Assistant Professor, Associate Professor, Assistant Professor, Assistant Professor Poornima College of Engineering, India, Poornima College of Engineering, India, Poornima College of Engineering, India, Poornima College of Engineering, India Rajasthan, Rajasthan, Rajasthan, Rajasthan India, India, India, India
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Abstract

nComposite materials can indeed play a crucial role in various phases of a face recognition system, offering advantages such as lightweight construction, durability, and tailored mechanical properties. Let’s explore how composite materials can be utilized in different phases of a face recognition system. A composite material based different phases of Face recognitions System is software that recognizes or verifies a person based on a digital image or a frame from a video source. We investigated a facial recognition system using support vector machines (SVM), a type of machine learning, in this review. Advanced composites are widely favored across various engineering applications due to their exceptional specific strength and specific stiffness, offering superior performance relative to their weight. Within the aircraft and aerospace industries, high-strength fibers such as carbon, glass, and Kevlar are commonly employed. We compared various facial composite material based different phases of facial recognitions System using a global method of feature extraction based on Histogram-Oriented Gradient. Face detection is accomplished using Convolutional Neural Networks, a subset of Deep Learning (CNN). It is a multi-layered structure that has been taught to use categorization to perform a specific task. Our study provides a thorough introduction to face detection, as well as various approaches, computer vision fundamentals, and applications that will be useful in image processing and computer vision research

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Keywords: Composite material, Face Recognition, SVM, CNN, HOG, Biometric Authentication

n[if 424 equals=”Regular Issue”][This article belongs to Journal of Polymer and Composites(jopc)]

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[/if 424][if 424 equals=”Special Issue”][This article belongs to Special Issue under section in Journal of Polymer and Composites(jopc)][/if 424][if 424 equals=”Conference”]This article belongs to Conference [/if 424]

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How to cite this article: Neha Shrotriya, Veena Yadav, Geeta Tiwari, Shilpa Kalra. Evaluation of composite material based on different phases of Face recognition System. Journal of Polymer and Composites. May 31, 2024; ():-.

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How to cite this URL: Neha Shrotriya, Veena Yadav, Geeta Tiwari, Shilpa Kalra. Evaluation of composite material based on different phases of Face recognition System. Journal of Polymer and Composites. May 31, 2024; ():-. Available from: https://journals.stmjournals.com/jopc/article=May 31, 2024/view=0

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[if 424 not_equal=””][else]Ahead of Print[/if 424] Open Access Review Article

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Journal of Polymer and Composites

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[if 344 not_equal=””]ISSN: 2321–2810[/if 344]

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Volume
[if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424]
Received January 23, 2024
Accepted April 23, 2024
Published May 31, 2024

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