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The Curse of Correlations for Robust Fingerprinting of Relational Databases [article]

Tianxi Ji, Emre Yilmaz, Erman Ayday, Pan Li
2021 arXiv   pre-print
To provide robust fingerprinting against the identified correlation attacks, we then develop mitigation techniques, which can work as post-processing steps for any off-the-shelf database fingerprinting  ...  We empirically investigate the impact of the identified correlation attacks and the performance of mitigation techniques using two real-world relational databases.  ...  ACKNOWLEDGMENTS Research reported in this publication was supported by the National Library Of Medicine of the National Institutes of Health under Award Number R01LM013429.  ... 
arXiv:2103.06438v1 fatcat:fs2guwaznvhcjj7tghqzhqyiua

Recent advances in biometric person authentication

Dugelay, Junqua, Kotropoulos, Kuhn, Perronnin, Pitas
2002 IIEEE International Conference on Acoustics Speech and Signal Processing  
Biometrics is an emerging topic in the field of signal processing.  ...  In this paper, a short overview of voice, fingerprint, and face authentication algorithms is provided.  ...  The class information is not sufficient to carry out recognition. However, it can be used for clustering: once a fingerprint is classified, it can be matched only with a subset of the database.  ... 
doi:10.1109/icassp.2002.1004810 fatcat:ychkz3csa5bzjpmurfdjotn7sy

Recent advances in biometric person authentication

J.-L. Dugelay, J.-C. Junqua, C. Kotropoulos, R. Kuhn, F. Perronnin, I. Pitas
2002 IEEE International Conference on Acoustics Speech and Signal Processing  
Biometrics is an emerging topic in the field of signal processing.  ...  In this paper, a short overview of voice, fingerprint, and face authentication algorithms is provided.  ...  The class information is not sufficient to carry out recognition. However, it can be used for clustering: once a fingerprint is classified, it can be matched only with a subset of the database.  ... 
doi:10.1109/icassp.2002.5745549 dblp:conf/icassp/DugelayJKKPP02 fatcat:c2vfd4lecbg5hi6xdxtnzay4bi

A Review of Audio Fingerprinting

Pedro Cano, Eloi Batlle, Ton Kalker, Jaap Haitsma
2005 Journal of VLSI Signal Processing Systems for Signal, Image and Video Technology  
Audio Fingerprinting technologies have attracted attention since they allow the identification of audio independently of its format and without the need of meta-data or watermark embedding.  ...  The different approaches to fingerprinting have been described with different rationales and terminology: Pattern matching, Multimedia (Music) Information Retrieval or Cryptography (Robust Hashing).  ...  This computational cost is related to the size of the fingerprints, the complexity of the search algorithm and the complexity of the fingerprint extraction.  ... 
doi:10.1007/s11265-005-4151-3 fatcat:vgn7xidedfchnaynlcd4pua3vq

SIFT-based local spectrogram image descriptor: a novel feature for robust music identification

Xiu Zhang, Bilei Zhu, Linwei Li, Wei Li, Xiaoqiang Li, Wei Wang, Peizhong Lu, Wenqiang Zhang
2015 EURASIP Journal on Audio, Speech, and Music Processing  
In addition, a locality sensitive hashing (LSH)-based nearest sub-fingerprint retrieval method and a matching determination mechanism are applied for robust sub-fingerprint matching, which makes the identification  ...  Finally, as an auxiliary function, we demonstrate that by comparing the time-frequency locations of corresponding SIFT keypoints, the factor of time stretching and pitch shifting that music queries might  ...  Robust matching of audio fingerprints Following the procedure described in the previous section, we extract sub-fingerprints for each reference music signal and store them in the fingerprint database.  ... 
doi:10.1186/s13636-015-0050-0 fatcat:zpjyvgcalffs3olef3dsysyhp4

Camera model identification based machine learning approach with high order statistics features

Amel Tuama, Frederic Comby, Marc Chaumont
2016 2016 24th European Signal Processing Conference (EUSIPCO)  
The experiments prove the strength of our proposition since it achieves higher accuracy than the correlation-based method.  ...  In this paper we developed a method for digital camera model identification by extracting three sets of features in a machine learning scheme.  ...  These results prove the robustness of the proposed method against the curse of dimensionality.  ... 
doi:10.1109/eusipco.2016.7760435 dblp:conf/eusipco/TuamaCC16 fatcat:zuk6kif23rende6dtcv6p4tvxu

Feature Level Fusion of Face and Fingerprint Biometrics [article]

Ajita Rattani, Dakshina Ranjan Kisku, Manuele Bicego, Massimo Tistarelli
2010 arXiv   pre-print
The aim of this paper is to study the fusion at feature extraction level for face and fingerprint biometrics.  ...  The fused feature pointset for the database and the query face and fingerprint images are matched using techniques based on either the point pattern matching, or the Delaunay triangulation.  ...  This improves the robustness to noise in the acquired fingerprint image.  ... 
arXiv:1002.2523v1 fatcat:a5jhjhkoh5ctrdzazqcgpnknoe

How to quantify energy landscapes of solids

Artem R. Oganov, Mario Valle
2009 Journal of Chemical Physics  
Our approach can be used for rationalizing large databases of crystal structures and for tuning computational algorithms for structure prediction.  ...  To answer this and related questions we use several tools: (i)Reduced energy surface and its density of states, (ii) descriptor of structure called fingerprint function, which can be represented as a one-dimensional  ...  However, we found 16 that cosine distances D cosine = 1 2 ͩ1− F 1 * F 2 ͉F 1 ͉͉F 2 ͉ ͪ = 1 2 ͩ 1 − ͚ k F 1 ͑k͒F 2 ͑k͒ ͱ ͚ k F 1 2 ͑k͒ ͱ ͚ k F 2 2 ͑k͒ ͪ ͑6a͒ are more robust to the "curse of dimensionality  ... 
doi:10.1063/1.3079326 pmid:19292538 fatcat:evv4ldbgozglzgpelq2ltxwagm

Feature Level Fusion of Face and Fingerprint Biometrics

A. Rattani, D. R. Kisku, M. Bicego, M. Tistarelli
2007 2007 First IEEE International Conference on Biometrics: Theory, Applications, and Systems  
The aim of this paper is to study the fusion at feature extraction level for face and fingerprint biometrics.  ...  The fused feature pointset for the database and the query face and fingerprint images are matched using techniques based on either the point pattern matching, or the Delaunay triangulation.  ...  This improves the robustness to noise in the acquired fingerprint image.  ... 
doi:10.1109/btas.2007.4401919 fatcat:ffs5dbydz5fdxch3nspypmgbcy

Toxicogenomics screening of small molecules using high-density, nanocapillary real-time PCR

Puskás
1998 International Journal of Molecular Medicine  
related gene expression fingerprint.  ...  Applying a hybrid clustering on the gene expression data, correlation was analyzed between molecular scaffold and biological fingerprint.  ...  We are grateful to the dedicated chemists of AMRI (formerly ComGenex) for the preparation of the combinatorial library, from where the compounds were selected in the present study and for Miklós J.  ... 
doi:10.3892/ijmm_00000102 fatcat:cwpad5bsujfrjmpxfy3luoelkm

Analysis of Minimum Distances in High-Dimensional Musical Spaces

Michael Casey, Christophe Rhodes, Malcolm Slaney
2008 IEEE Transactions on Audio, Speech, and Language Processing  
The distribution of between-shingle distances is different for each database; therefore, we present an analysis of the distribution of minimum distances between shingles and a method for estimating a distance  ...  We evaluate the performance of our proposed method on three contrasting music similarity tasks: retrieval of mis-attributed recordings (fingerprint), retrieval of the same work performed by different artists  ...  IV-D the pdf of the nearest neighbors for audio shingles. IV-F a decision rule for determining related shingles.  ... 
doi:10.1109/tasl.2008.925883 fatcat:oqy6rjkhara7hmbfz4mzed2f3y

Mutual Information Based Feature Selection for Fingerprint Identification

Ahlem Adjimi, Abdenour Hacine-Gharbi, Philippe Ravier, Messaoud Mostefai
2019 Informatica (Ljubljana, Tiskana izd.)  
In the field of fingerprint identification, local histograms coding is one of the most popular techniques used for fingerprint representation, due to its simplicity.  ...  First, long computing time and big memory capacities are required with databases growing. Second, the recognition rate may be degraded due to the curse of dimensionality phenomenon.  ...  The related work in section 2 mentioned the region around the core point of the fingerprint image.  ... 
doi:10.31449/inf.v43i2.1621 fatcat:5duksbm3o5bkrlwwvpagx53kju

Fingerprint Intramodal Biometric System Based on ABC Feature Fusion

J. O. Jooda, A. O. Oke, E. O. Omidiora, O. T. Adedeji
2021 Asian Journal of Research in Computer Science  
ABC was proposed for optimized feature selection prior to the classification of Fingerprint Intramodal Biometric System (FIBS).  ...  Intramodal fingerprint fusion can overcome the limitations imposed by UBS when features are fused at the feature level as it is a good approach to boost the performance of the biometric system.  ...  This necessitates the creation of a fingerprint database that was collected in an uncontrolled environment.  ... 
doi:10.9734/ajrcos/2021/v11i230256 fatcat:k657f5v43ngirivcrko5zohts4

A Survey on Different Levels of Fusion in Multimodal Biometrics

Suneet Narula Garg, Renu Vig, Renu Gupta
2017 Indian Journal of Science and Technology  
We have also discussed various techniques used in different level of fusion with the objective of improving performance and robustness at each level of fusion.  ...  It is concluded from the fact that a combination of two identities when fused together, can reach very high accuracy levels.  ...  After the initial enrolment process is done, the fingerprint and related names of the people authorized to enter through that system are stored in template database.  ... 
doi:10.17485/ijst/2017/v10i44/120575 fatcat:lrdak2k2pbf7tpuyt7e7fugpge

Fingerprint-Based Device-Free Localization Performance in Changing Environments

Brad Mager, Philip Lundrigan, Neal Patwari
2015 IEEE Journal on Selected Areas in Communications  
A fingerprint-based DFL method collects a training database of measurement fingerprints and uses a machine learning classifier to determine a person's location from a new fingerprint.  ...  We present a correlation method for selecting channels which decreases the localization error rate from 4.8% to 1.6%.  ...  the training database.  ... 
doi:10.1109/jsac.2015.2430515 fatcat:wfy3nylf5ba3rd3x2amwgk7dsq
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