An optimized multimodal biometric system with hierachical classifiers and reduced features

The paper presents an optimized multimodal biometric system for identification applications. This solution is based on innovative and computational-efficient biometric data hierarchical classifiers (with detection and discrimination stages) and also with a post-classification fusion. The detection-based classification is very suitable for applications with several security levels in which the end-users have various authorization degrees. The proposed solution supports an optimal trade-off between the identification accuracy and the computational complexity, which is important for the medium- and large-scale identification biometric applications.