His primary areas of investigation include Biometrics, Artificial intelligence, Data mining, Iris recognition and Feature extraction. His Biometrics study is focused on Computer security in general. His Computer security research incorporates themes from Emerging technologies and Benchmark.
His Artificial intelligence research incorporates themes from Computer vision and Pattern recognition. His studies in Feature extraction integrate themes in fields like IRIS, Software engineering and Usability. His Cryptography study incorporates themes from Homomorphic encryption, Biometric data and Internet privacy.
His main research concerns Biometrics, Artificial intelligence, Pattern recognition, Iris recognition and Computer vision. His work carried out in the field of Biometrics brings together such families of science as Data mining, Identification and Bloom filter. His Data mining study combines topics from a wide range of disciplines, such as Cryptography, Fuzzy logic, Key, Error detection and correction and Search engine indexing.
His Pattern recognition research focuses on Speech recognition and how it connects with Mixture model. The various areas that Christian Rathgeb examines in his Iris recognition study include Signature recognition, Discriminative model, Hamming distance and Similarity. The concepts of his Feature extraction study are interwoven with issues in Algorithm and Image fusion.
His primary scientific interests are in Artificial intelligence, Biometrics, Facial recognition system, Face and Computer vision. His research on Artificial intelligence often connects related areas such as Pattern recognition. Christian Rathgeb performs integrative Biometrics and Quality research in his work.
His Facial recognition system research is multidisciplinary, incorporating perspectives in Spoofing attack, Word error rate, Morphing, Feature extraction and Data science. As a member of one scientific family, Christian Rathgeb mostly works in the field of Face, focusing on Feature and, on occasion, Margin and Key. In his research on the topic of Segmentation, Iris recognition is strongly related with Mobile device.
His primary areas of study are Facial recognition system, Artificial intelligence, Biometrics, Face and Pattern recognition. His Facial recognition system research is multidisciplinary, incorporating elements of Spoofing attack, Morphing and Word error rate. As part of the same scientific family, Christian Rathgeb usually focuses on Artificial intelligence, concentrating on Computer vision and intersecting with Human assessment.
His work deals with themes such as Image quality, Robustness and Data science, which intersect with Biometrics. His Feature vector study in the realm of Pattern recognition interacts with subjects such as Differential. His Overfitting research includes themes of Feature extraction and FERET.
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A survey on biometric cryptosystems and cancelable biometrics
Christian Rathgeb;Andreas Uhl.
Eurasip Journal on Information Security (2011)
Alignment-free cancelable iris biometric templates based on adaptive bloom filters
C. Rathgeb;F. Breitinger;C. Busch.
international conference on biometrics (2013)
General Framework to Evaluate Unlinkability in Biometric Template Protection Systems
Marta Gomez-Barrero;Javier Galbally;Christian Rathgeb;Christoph Busch.
IEEE Transactions on Information Forensics and Security (2018)
Face Recognition Systems Under Morphing Attacks: A Survey
Ulrich Scherhag;Christian Rathgeb;Johannes Merkle;Ralph Breithaupt.
IEEE Access (2019)
On application of bloom filters to iris biometrics
Christian Rathgeb;Frank Breitinger;Christoph Busch;Harald Baier.
IET Biometrics (2014)
Iris Biometrics: From Segmentation to Template Security
Christian Rathgeb;Andreas Uhl;Peter Wild.
Cancelable multi-biometrics: Mixing iris-codes based on adaptive bloom filters
Christian Rathgeb;Christoph Busch.
Computers & Security (2014)
Demographic Bias in Biometrics: A Survey on an Emerging Challenge
Pawel Drozdowski;Christian Rathgeb;Antitza Dantcheva;Naser Damer.
IEEE Transactions on Technology and Society (2020)
Secure iris recognition based on local intensity variations
Christian Rathgeb;Andreas Uhl.
international conference on image analysis and recognition (2010)
Unlinkable and irreversible biometric template protection based on bloom filters
Marta Gomez-Barrero;Christian Rathgeb;Javier Galbally;Christoph Busch.
Information Sciences (2016)
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