Hashing fingerprints for identity de-duplication

doi:10.1109/WIFS.2013.6707793

科研成果详情

题名	Hashing fingerprints for identity de-duplication
作者	Wang，Yi 1,2; Yuen，Pong C.1,3; Cheung，Yiu Ming 1,2,3
发表日期	2013
会议录名称	Proceedings of the 2013 IEEE International Workshop on Information Forensics and Security, WIFS 2013
页码	49-54
摘要	Fraudulent identities of multiple enrollments usually link to fraud and serious breaches of law. With the vast biometric data collection, identity de-duplication has become the processing bottleneck of biometric enrollments. Recently, locality sensitive hashing (LSH) based methods have been introduced for fast retrieval of biometric identities. Most of them are working in the binary space. This paper proposes a new fingerprint indexing method based on a variant of LSH called spherical LSH (S-LSH). The proposed S-LSH based algorithm is able to hash fingerprint templates directly in the original feature space and thus avoid the intermediate step of binary transformation. In this way, S-LSH can better preserve the interpoint similarity of minutiae points. We demonstrate the effectiveness and efficiency of the new S-LSH based approach by performing fingerprint indexing experiments on the FVC2002 DB1 database and comparing it with a state-of-the-art hashing based fingerprint indexing method. © 2013 IEEE.
DOI	10.1109/WIFS.2013.6707793
URL	查看来源
语种	英语English
Scopus入藏号	2-s2.0-84894221320
引用统计
文献类型	会议论文
条目标识符	https://repository.uic.edu.cn/handle/39GCC9TT/6525
专题	北师香港浸会大学
作者单位	1.Department of Computer Science,Hong Kong Baptist University,China 2.Institute of Computational and Theoretical Studies (ICTS),Hong Kong Baptist University,China 3.United International College,Beijing Normal University,Hong Kong Baptist University,Zhuihai,China
推荐引用方式 GB/T 7714	Wang，Yi,Yuen，Pong C.,Cheung，Yiu Ming. Hashing fingerprints for identity de-duplication[C], 2013: 49-54.