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Enhancement of security using multimodal biometrics

Publication Type : Conference Proceedings

Publisher : IEEE

Source : 2014 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2014]

Url : https://doi.org/10.1109/iccpct.2014.7054837

Campus : Nagercoil

School : School of Computing

Year : 2014

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.

Cite this Research Publication : T.S. Sasikala, J. Jeya A Celin, Enhancement of security using multimodal biometrics, 2014 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2014], IEEE, 2014, https://doi.org/10.1109/iccpct.2014.7054837

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