Multimodal Biometrics Recognition by Dimensionality Reduction Method

Multimodal biometric system utilizes two or more individual modalities, e.g., face, ear, and fingerprint, to improve the recognition accuracy of conventional uni-modal methods. We propose a new dimensionality reduction method called dimension reduce projection (DRP) in this paper. DRP can not only preserve local information by capturing the intramodal geometry, but also extract between-class relevant structures for classification effectively. Experimental results show that our proposed method performs better than other algorithms including PCA, LDA and MFA.