Iris Recognition for Multimodal Based Authentication System

Sulaeman, Defiana and Nugroho, Anto S. and Galinium, Maulahikmah (2015) Iris Recognition for Multimodal Based Authentication System. Bachelor thesis, Swiss German University.

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Abstract

In the past few years, Agency of the Assessment and Application of Technology (BPPT) and Swiss German University’s students have conducted several researches regarding those biometrics aspects. In 2012, Valentina developed prototype system for iris recognition. Then, this system was enhanced by Sentanoe (2014). However, the result of the research still needs to be improved, especially in the accuracy of the segmentation module and the performance of the system. Therefore, in this research, the system is enhanced. Then, it is integrated with the iris scanner, the fingerprint scanner, and the open-source fingerprint recognition system to develop a multimodal based authentication system. In terms of result, this experiment shows quite promising results, which are 97% success rate for the iris segmentation module, 97% success rate for the matching module, and seven times faster processing speed of the iris matching module.

Item Type: Thesis (Bachelor)
Uncontrolled Keywords: Biometrics; Iris Recognition,; Iris Segmentation; Iris Feature Extraction; Iris Matching; Multi-modal System
Subjects: T Technology > T Technology (General) > T58.5 Information technology
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7882 Biometric identification
Divisions: Faculty of Engineering and Information Technology > Department of Information Technology
Depositing User: Atroridho Rizky
Date Deposited: 20 Jan 2021 14:55
Last Modified: 20 Jan 2021 14:55
URI: http://repository.sgu.ac.id/id/eprint/1717

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