Fusion, Rank-Level

Synonyms

Biometric Fusion; Rank-Level

Definition

Rank-level fusion is the method of consolidating more than two identification results to enhance the reliability in personal identification. In multimodal biometric system, rank-level fusion can be used to combine the biometrics matching scores from the different biometric modalities (e.g., face, fingerprint, palm print, and iris). It can also be used for performance improvement in unimodal biometric system by combining multiple classifier output that use different classifiers (K nearest neighbor, neural network, support vector machine, decision tree, etc.), different training set, different architectures (different number of layers or transfer function in neural network), or different parameter values (different kernels in support vector machine or different K in K nearest neighbor).

Introduction

The majority of biometric system deployed uses feature extraction from a single biometric modality and a particular classification procedure...