Selecting Distinctive Features to Improve Performances of Multidimensional Fuzzy Vault Scheme
作者： Hailun Liu , Dongmei Sun , Ke Xiong , Zhengding Qiu
DOI: 10.1007/978-3-642-25449-9_29
关键词: Feature selection 、 Point (geometry) 、 Computer science 、 Euclidean distance 、 Scheme (programming language) 、 Pattern recognition 、 Measure (mathematics) 、 Set (abstract data type) 、 Artificial intelligence 、 Feature data 、 Biometrics 、 Data mining
摘要: Fuzzy vault scheme is one of the most popular biometric cryptosystems. However, designed for set differences while Euclidean distance often used in techniques. Multidimensional fuzzy (MDFVS) a modified version that can be easily implemented based on feature data. In MDFVS, every point vector, and measure genuine points filtering. To get better performances, step selection MDFVS algorithms very important should well designed. this paper we propose applying recognition rate to discrimination features selecting strong distinctive into points. Some principles compose are discussed. An implementation with also presented. Experimental results palmprint show proposed approach improves performances MDFVS.
springer.com
sci-hub.se 参考文章(11)
Hailun Liu, Dongmei Sun, Ke Xiong, Zhengding Qiu, None, 3D Fuzzy Vault Based on Palmprint cyber-enabled distributed computing and knowledge discovery. pp. 230- 234 ,(2010) , 10.1109/CYBERC.2010.49
Hailun Liu, Dongmei Sun, Ke Xiong, Zhengding Qiu, Is Fuzzy Vault Scheme Very Effective for Key Binding in Biometric Cryptosystems cyber-enabled distributed computing and knowledge discovery. pp. 279- 284 ,(2011) , 10.1109/CYBERC.2011.54
Yongjin Wang, K.N. Plataniotis, Fuzzy Vault for Face Based Cryptographic Key Generation The Bulletin of the Center for Children's Books. pp. 1- 6 ,(2007) , 10.1109/BCC.2007.4430549
Anil K Jain, Karthik Nandakumar, Abhishek Nagar, Biometric template security EURASIP Journal on Advances in Signal Processing. ,vol. 2008, pp. 113- ,(2008) , 10.1155/2008/579416
Karthik Nandakumar, Anil K. Jain, Sharath Pankanti, Fingerprint-Based Fuzzy Vault: Implementation and Performance IEEE Transactions on Information Forensics and Security. ,vol. 2, pp. 744- 757 ,(2007) , 10.1109/TIFS.2007.908165
U. Uludag, S. Pankanti, S. Prabhakar, A.K. Jain, Biometric cryptosystems: issues and challenges Proceedings of the IEEE. ,vol. 92, pp. 948- 960 ,(2004) , 10.1109/JPROC.2004.827372
Yanqiang Zhang, Zhengding Qiu, Dongmei Sun, Palmprint identification using weighted PCA feature international conference on signal processing. pp. 2112- 2115 ,(2008) , 10.1109/ICOSP.2008.4697562
Youn Joo Lee, Kang Ryoung Park, Sung Joo Lee, Kwanghyuk Bae, Jaihie Kim, A New Method for Generating an Invariant Iris Private Key Based on the Fuzzy Vault System systems man and cybernetics. ,vol. 38, pp. 1302- 1313 ,(2008) , 10.1109/TSMCB.2008.927261
A. Juels, M. Sudan, A fuzzy vault scheme international symposium on information theory. pp. 0- 0 ,(2002) , 10.1109/ISIT.2002.1023680
Yevgeniy Dodis, Rafail Ostrovsky, Leonid Reyzin, Adam Smith, Fuzzy Extractors: How to Generate Strong Keys from Biometrics and Other Noisy Data SIAM Journal on Computing. ,vol. 38, pp. 97- 139 ,(2008) , 10.1137/060651380