期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：1
出版社：S&S Publications
摘要：Biometric systems allow automatic person recognition based on physical or behavioral features whichbelong to a certain person. Each biometric feature has its limits and no biometric system is perfect so unimodalbiometric systems raise a variety of problems. To over fulfilling some of the mentioned inconvenient and limitationsand to increase the level of security the multimodal biometric systems are used. This paper proposes the multimodalbiometrics system for identity verification using two traits, i.e., speech signal and palmprint. The proposed system isdesigned for applications where the training data contains a speech signal and palmprint. The matching score levelarchitecture uses weighted sum of score technique. The features are extracted from the pre-processed palm image andpre-processed speech signal. The features of a query image and speech signal are compared with those of a databaseimages and speech signal to obtain matching scores. The individual scores generated after matching are passed to thefusion module. This module consists of three major steps i.e., normalization, generation of similarity score and fusionof weighted scores. The final score is then used to declare the person as genuine or an impostor. The system is tested ondatabase collected by the authors for 120 subjects and gives an overall accuracy of 98.63% with FAR of 1.67% andFRR of 0.84%.
