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ISSN 2063-5346
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FACIAL RECOGNITION BASED SYSTEM FOR CERTIFICATE VERIFICATION USING DEEP LEARNING

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kalaiselvi S, akalya N, aarthi V, chandrukumar S, vivekananda V
» doi: 10.31838/ecb/2023.12.s3.064

Abstract

A certificate is an official document issued by an organization to certain qualified individuals as proof that the individual has completed a particular apprenticeship, course, study, or program. However, in today’s world, certificate fraud and identity theft are still on the rise in both public and private organizations. The traditional means of document verification is observational methods that observe documents and automatically accept certain actions or procedures based on signatures, stamps, seals, etc. However, these standards used to authenticate documents can be very easily replicated to commit fraud and has become a big problem. Biometrics with biometric detection as fraud protection is therefore an exclusive and convenient way to link individuals to their digital identities, especially when used in unattended situations. Therefore, an electronic certificate generation and authentication system based on face recognition technology using DL has been proposed. We propose a new face detector, Deep Convolutional Neural Network. It is fast and can detect faces with large variations (especially small faces). This project enables face login with multifactor user authentication. The new system essentially uses facial acknowledgement as a form of liveliness detection, allowing users to access their credentials via a request and response module when trying to participate in a job interview or for other purposes. Each certificate has a unique hash key that any organization can use to verify the authenticity of the certificate through the portal. Quickly find out if a document is valid and check if any changes have been made with local and international registry checks. The advantage of this system is that there is less risk of students or users losing or destroying certificates, and certificate verification is very easy to perform.

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