科研成果详情

题名A supervised correlation analysis for score-level calibration of cross-device fingerprint recognition
作者
发表日期2014
会议录名称Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
ISSN1062-922X
卷号2014-January
期号January
页码1165-1170
摘要As the usage of fingerprint systems is rolled out on a large scale, scenarios have cross-device matching to allow information exchange and provide compatibility to the existing systems. A score-level calibration for device interoperability will require normalizing scores obtained from different devices so that they can be matched meaningfully and effectively. Conventional methods either assume a homogeneous distribution or model score distribution based on assumptions that may not be valid. In this paper, we circumvent the problem by leveraging correlations among the scores and propose a novel method for biometric score normalization. Our experiments show the promising results.
DOI10.1109/SMC.2014.6974071
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语种英语English
Scopus入藏号2-s2.0-84938091008
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被引频次[WOS]:0   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/6507
专题北师香港浸会大学
作者单位
1.Department of Computer Science, Hong Kong Baptist University,Hong Kong SAR,Hong Kong
2.Institute of Computational and Theoretical Studies, Hong Kong Baptist University,Hong Kong SAR,Hong Kong
3.United International College, Beijing Normal University - Hong Kong Baptist University,Zhuhai,China
推荐引用方式
GB/T 7714
Gu,Fangqing,Wang,Yi,Cheung,Yiu Ming. A supervised correlation analysis for score-level calibration of cross-device fingerprint recognition[C], 2014: 1165-1170.
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