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- Title
Research of adaptive multi-channel biometric recognition based on fusion of path-based clustering and USTU.
- Authors
Zhang Guoping; Huang Miao; Ma Li; Zhao Guiqin
- Abstract
To solve the problem of template update in biometric recognition system at regular time, this paper presented a template update method in biometric recognition system.Firstly, it described the self-update and co-update algorithms.Then, it made a theoretical analysis of self and co-update performance by exploiting the path-based clustering approach.Finally, it proposed the update method based on path-based clustering and unsupervised template.The experiments on the large DIEE multimodal data set show that the proposed method can update the template in biometric recognition system effectively.Moreover, the results show that the performance of co-update is superior to that of self-update by a simulative model.
- Publication
Application Research of Computers / Jisuanji Yingyong Yanjiu, 2015, Vol 32, Issue 7, p2184
- ISSN
1001-3695
- Publication type
Article
- DOI
10.3969/j.issn.1001-3695.2015.07.065