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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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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
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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
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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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