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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Issue: May 2023

Volume 8 | Issue 5

Impact factor: 8.15

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Paper Title: A Workflow paper on an effective approach for Face Spoofing Detection Using CNN
Authors Name: Anushka Bagchi , Shubh Malviya , V.G.S Vishnu Priya , Yashika Lalwani , Aparna Pandey
Unique Id: IJSDR2305237
Published In: Volume 8 Issue 5, May-2023
Abstract: The current facial biometric systems are vulnerable to spoofing attacks. A spoofing attack occurs when someone attempts to impersonate another person and gains unauthorized access by falsifying data. Face-spoofing attacks affect the high-security departments of corporations, government departments, and emerging SMEs. Several face spoofing countermeasures and live detection methods have been proposed, but the problem remains unresolved because of the difficulty in determining the characteristics and methods of spoofing attacks. It was recently shown that traditional facial biometric techniques are more vulnerable to spoofing attacks; therefore, the entire research community has had to focus more on finding solutions to spoofing attacks. The purpose of this study is to detail anti-spoofing methods and database evaluation. This research concludes that it is necessary to provide more general algorithms for detecting unpredictable spoofing attacks to increase system security, computational efficiency, and reliability
Cite Article: "A Workflow paper on an effective approach for Face Spoofing Detection Using CNN", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 5, page no.1510 - 1513, May-2023, Available :http://www.ijsdr.org/papers/IJSDR2305237.pdf
Downloads: 000222060
Publication Details: Published Paper ID: IJSDR2305237
Registration ID:206106
Published In: Volume 8 Issue 5, May-2023
DOI (Digital Object Identifier):
Page No: 1510 - 1513
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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