Integration of Fingerprint and Face Features for Multimodal Authentication


Nasir, Ilham (2016) Integration of Fingerprint and Face Features for Multimodal Authentication. Masters thesis, Multimedia University.

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Unimodal biometric system is a biometric system that based only on one human trait. This type of biometric has been used in various applications. Even though this type of biometric system has good reliability and accuracy, this system also has several weaknesses due to illumination or enrolment problem. In order to solve these problems, multimodal biometric system can be applied. Multimodal biometric system combines information from more than one human trait and deliver the decision. In this contrast, a number of studies have shown that multimodal biometric system can get better result compared with the unimodal system. Thus, the multimodal biometrics is an emerging area in biometric technology where more than one biometrics is combined to improve the performance and security. In this research, multimodal biometric system that combined face and fingerprint features is designed for robust user authentication. The first step in proposed framework is pre-processing to enhance the image quality. The next step is feature extraction which extracts the features from face and fingerprint image separately.

Item Type: Thesis (Masters)
Additional Information: Call No.: TK7882.B56 I44 2016
Uncontrolled Keywords: Biometric identification
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800-8360 Electronics
Divisions: Faculty of Information Science and Technology (FIST)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 07 Sep 2017 10:39
Last Modified: 07 Sep 2017 10:39


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