Dwi, Rosmawati and Lukas, Lukas and Lim, Charles (2017) Extended Visual Cryptography Scheme (Evcs) To Support Biometric Security Database: Study Case For Palm Print Recognition. Masters thesis, Swiss German University.

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Abstract

Biometric nowadays becomes popular in term of authentication system. Many institutions and companies start to use biometric in addition besides using password or smartcard to authenticate a person in order to prevent unauthorized person to access their system. As the development of biometric in authentication system, the attackers try to search the vulnerability of it in order to have the authority into the system. One of the vulnerability of the biometric system that the attacker addressed is in the biometric database. Many system of biometric still save the biometric template characteristic in database in the form of plain image. There is no encryption methods used to secure the biometric database which makes easier for the attacker to sabotage the biometric system. This research focuses on how to secure the biometric database using EVCS (Extended Visual Cryptograpy Scheme). The study applied on 198 trainingset palmprint images and 10 validationset of palmprint images. From the research, it is found that EVCS can be used for securing biometric template database without losing much information and the quality of the decrypted image reach 40.95 dB for simulation and 41.49 dB for validation. The system also successfully authenticate decrypted image with the percentage of true positive that is 82.45% for simulation and 90.00% for validation.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	EVCS; Biometric; Palmprint; Security; Authentication
Subjects:	Q Science > QA Mathematics > QA268 Cryptography T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7882 Biometric identification
Divisions:	Faculty of Engineering and Information Technology > Department of Information Technology
Depositing User:	Astuti Kusumaningrum
Date Deposited:	12 May 2020 09:32
Last Modified:	12 May 2020 09:32
URI:	http://repository.sgu.ac.id/id/eprint/289

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