Towards Bloom filter-based indexing of iris biometric data
暂无分享,去创建一个
Christoph Busch | Harald Baier | Christian Rathgeb | Frank Breitinger | C. Busch | C. Rathgeb | Harald Baier | Frank Breitinger
[1] Arun Ross,et al. Indexing iris images using the Burrows-Wheeler Transform , 2010, 2010 IEEE International Workshop on Information Forensics and Security.
[2] Harald Baier,et al. On the database lookup problem of approximate matching , 2014, Digit. Investig..
[3] James K. Mullin,et al. Optimal Semijoins for Distributed Database Systems , 1990, IEEE Trans. Software Eng..
[4] Patrick J. Flynn,et al. Image understanding for iris biometrics: A survey , 2008, Comput. Vis. Image Underst..
[5] Andreas Uhl,et al. A survey on biometric cryptosystems and cancelable biometrics , 2011, EURASIP J. Inf. Secur..
[6] Phalguni Gupta,et al. Indexing Iris Biometric Database Using Energy Histogram of DCT Subbands , 2009, IC3.
[7] Arun Ross,et al. Indexing iris images , 2008, 2008 19th International Conference on Pattern Recognition.
[8] Nalini Ratha,et al. An efficient, two-stage iris recognition system , 2009, 2009 IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems.
[9] Libor Masek,et al. Recognition of Human Iris Patterns for Biometric Identification , 2003 .
[10] Christoph Busch,et al. On application of bloom filters to iris biometrics , 2014, IET Biom..
[11] Burton H. Bloom,et al. Space/time trade-offs in hash coding with allowable errors , 1970, CACM.
[12] John Daugman,et al. How iris recognition works , 2002, IEEE Transactions on Circuits and Systems for Video Technology.
[13] Arun Ross,et al. 2D ear classification based on unsupervised clustering , 2014, IEEE International Joint Conference on Biometrics.
[14] Anil K. Jain,et al. A Multichannel Approach to Fingerprint Classification , 1999, IEEE Trans. Pattern Anal. Mach. Intell..
[15] Anil K. Jain,et al. A Real-Time Matching System for Large Fingerprint Databases , 1996, IEEE Trans. Pattern Anal. Mach. Intell..
[16] Dexin Zhang,et al. Efficient iris recognition by characterizing key local variations , 2004, IEEE Transactions on Image Processing.
[17] Harald Baier,et al. An Efficient Similarity Digests Database Lookup - A Logarithmic Divide & Conquer Approach , 2014, J. Digit. Forensics Secur. Law.
[18] Feng Hao,et al. A Fast Search Algorithm for a Large Fuzzy Database , 2008, IEEE Transactions on Information Forensics and Security.
[19] Andreas Uhl,et al. Weighted adaptive Hough and ellipsopolar transforms for real-time iris segmentation , 2012, 2012 5th IAPR International Conference on Biometrics (ICB).
[20] Christian Rathgeb,et al. Efficient two-stage speaker identification based on universal background models , 2014, 2014 International Conference of the Biometrics Special Interest Group (BIOSIG).
[21] Andreas Uhl,et al. Iris-Biometric Hash Generation for Biometric Database Indexing , 2010, 2010 20th International Conference on Pattern Recognition.
[22] Andrei Broder,et al. Network Applications of Bloom Filters: A Survey , 2004, Internet Math..