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
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ISSN | 1062-922X |
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. |
DOI | 10.1109/SMC.2014.6974071 |
URL | 查看来源 |
语种 | 英语English |
Scopus入藏号 | 2-s2.0-84938091008 |
引用统计 | |
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. |
条目包含的文件 | 条目无相关文件。 |
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