Enhancement of security using multimodal biometrics

Abstract

Biometrics is the most recognizable and acceptable means for identification of person. Due to some limitations of biometrics recently multimodal biometrics assures secured identification which introduces fusion methods. Since biometric fusion is a well studied problem, nowadays combination of most of the fusion schemes have been used. In this paper, we have propose a new and effective method using fuzzy decision level fusion and Rank level fusion for palmprint and voice triats. The proposed multimodal biometrics system shows interesting results on several commonly used database.