Evaluation on Score Reliability for Biometric Speaker Authentication Systems
Fusion weight tuning based on score reliability is imperative in order to ensure the performances of multibiometric systems are sustained. In this paper, two variant of conditions i.e., different performances of individual subsystems and inconsistent quality of test samples are experimented to multibiometric systems. By applying multialgorithm scheme, two types of features extraction method i.e., Linear Predictive Coding (LPC) and Mel Frequency Cepstrum Coefficient (MFCC) are executed in this paper. Support Vector Machine (SVM) is used as a classifier for both subsystems for the pattern matching process.