UT Institute of Computer Science Graduation Theses Registry


Use of Electronic Identity Documents for Multi-Factor Authentication
Name Burak Can Kus
Abstract This work introduces an open-source automated biometric authentication system, “eMRTD Face Access.” It uses an Electronic Machine Readable Travel Document (eMRTD) and a facial image to authenticate a person. The solution provides two-factor authentication. The authentication factor “something you have” is implemented by performing cryptographic checks to verify the authenticity of an eMRTD, but the authentication factor “something you are” is verified by comparing the facial image of the person presenting the document with the facial image stored in the document. The solution has been successfully tested on Estonian, Latvian, and Turkish identity documents and is also expected to work on documents issued by other countries.
Graduation Thesis language English
Graduation Thesis type Master - Cyber Security
Supervisor(s) Arnis Paršovs
Defence year 2021
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