Feature level based monomodal biometric biometric information and are affected by
problems like normalization of features codes since they are heterogeneo like noisy sensor …

Feature level based monomodal biometric systems perform person recognition based on a
multiple sources of biometric information and are affected by problems like integration of …

In recent years, biometric-based authentication systems have become very important in view
of their ability to prevent identity theft by identifying an individual with high accuracy and …

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 …

Feature level based monomodal biometric systems perform person recognition based on a
multiple sources of biometric information and are affected by problems like integration of …

Objectives: The use of multimodal biometric has been introduced recently owing to use of
multiple biometric modalities. Here we perform in-depth review of the various methods used …

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 …

A biometric system is basically a pattern recognition system that acquires biometrics data
from the person, extracts the most significant feature set from the acquired data, and …

Biometric systems for today's high security applications must meet stringent performance
requirements. The fusion of multiple biometrics helps to minimize the system error rates …