A NOVEL APPROACH OF FINGERPRINT RECOGNITION BASED ON MULTILINEAR ICA

摘要：

Motivated by the reported out performance in the fingerprint recognition thesises of PCA by ICA in the linear case where only a single factor is allowed to vary, and the outperformance of PCA by FET when multiple factors are allowed to vary, it is natural to ask whether there a multilinear generalization of ICA and if its performance is better than the other two methods. In this paper, We have presented a multilinear algebraic framework for fingerprint image recognition, which employs a tensor (N-mode) extension of the conventional matrix SVD. We also introduced a multilinear projection algorithm for fingerprint recognition, which projects an unlabeled test image into the N constituent mode spaces to infer its mode labelsperson, finger, type.

关键词： fingerprint recognition multilinear ICA

作者: Xiaoyong Wang Xiaojun Jing Xifu Zhu Songlin Sun Linbi Hong

作者单位: Beijing University of Posts and Telecommunications

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Network Infrastructure and Digital Content(2009年IEEE网络基础设施与数字内容国际会议 IEEE IC-NIDC2009)

会议地点: 北京

会议语种:英文

页码: 740-744

在线出版日期: 2009-11-06（万方平台首次上网日期，不代表论文的发表时间）