Feature Level Fusion the Performance of Multimodal Biometric Systems
نویسندگان
چکیده
منابع مشابه
Performance evaluation of score level fusion in multimodal biometric systems
In a multimodal biometric system, the effective fusion method is necessary for combining information from various single modality systems. In this paper the performance of sum rule-based score level fusion and support vector machines (SVM)-based score level fusion are examined. Three biometric characteristics are considered in this study: fingerprint, face, and finger vein. We also proposed a n...
متن کاملFeature Level Fusion in Biometric Systems
Multimodal biometric systems utilize the evidence presented by multiple biometric sources (e.g., face and fingerprint, multiple fingers of a user, multiple impressions of a single finger, etc.) in order to determine or verify the identity of an individual. Information from multiple sources can be consolidated in three distinct levels [1]: (i) feature extraction level; (ii) match score level; an...
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The increasing demand for high secure and reliable authentication schemes, led to improvement in unimodal biometric system and hence multimodal biometric system has emerged as a mean of more secure and reliable authentication scheme. Multimodal biometric fusion is very promising process to enhances the strengths and reduce the weaknesses of the individual measurements. In multimodal biometrics,...
متن کاملMultimodal Biometric System: A Feature Level Fusion Approach
Biometric systems are automatic process to identify a person through physical traits or to verify his/her identity. Various systems were implemented and used over years, and they include systems based on fingerprints, irises, facial images, hand geometry, and speaker recognition. For successful implementation of biometric systems,it is required to address many issues like accuracy, efficiency, ...
متن کاملFeature Level Fusion in Multimodal Biometric Authentication System
Multimodal systems integrate multiple sources of human information to ensure high level security. Multimodal biometric systems increase the recognition rate of the biometric systems either by reducing the false acceptance rate (FAR) or false rejection rate (FRR). Multiple biometric traits can be combined at feature level. Feature level fusion increases the reliability of the system by preventin...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2015
ISSN: 0975-8887
DOI: 10.5120/ijca2015905600