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 unimodal 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 intra-modal 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.
2DPCA Multimodal biometrics Dimensionality reduction Face recognition Palmprint recognition
Cheng Lu Di Liu Jisong Wang Shuyan Wang
Computer School Jilin University Changchun, China Computer School Northeast Normal University Changchun, China
国际会议
Second International Symposium on Electronic Commerce and Security(第二届电子商务与安全国际研究大会)(ISECS 2009)
南昌
英文
769-772
2009-05-22(万方平台首次上网日期,不代表论文的发表时间)