Unimodal Biometrics is well known as a booming technology that measures and analyzes
the physical traits of a human being for verification and identification purposes. But due to …

Unimodal biometric systems are susceptible to a variety of problems such as noisy data,
intra-class variations, limited degrees of freedom, non-universality, spoof attacks and …

In many real-world applications, unimodal biometric systems often face significant limitations
due to sensitivity to noise, intraclass variability, data quality, nonuniversality, and other …

ABSTRACT A biometric identification system is an automatic pattern recognition system that
recognizes a person by determining the authenticity of a specific physiological and/or …

The concept of multimodal biometrics is gaining importance to realise reliable, accurate and
robust authentication systems. In multimodal biometrics, information fusion can be done at …

Biometric based authentication is playing a very important role in various security related
applications. A novel multimodal biometric verification based on fingerprint, palmprint and …

In this paper, we investigate fusion methods for multimodal identification using several
unimodal identification results. One fingerprint identification system and two face …

Multimodal Biometrics is an emerging domain that integrates two or more biometric features
to overcome certain limitations of using them individually. In this paper, a Multimodal …

Multimodal biometric methods use different fusion techniques to avoid authentication
problems such as noisy sensors data, nonuniversality, and unacceptable error rates. Fusion …

Multimodal biometric systems consolidate the evidence presented by multiple biometric
sources and typically provide better recognition performance compared to systems based on …