Integration of Fingerprint and Face Features for Multimodal Authentication
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 prob...
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| Format: | Thesis |
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2016
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| Summary: | 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. |
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