Artificial intelligence, Biometrics, Fingerprint, Fingerprint recognition and Liveness are her primary areas of study. Her Artificial intelligence research incorporates themes from Identification, Computer vision and Pattern recognition. The various areas that Stephanie Schuckers examines in her Identification study include Image processing and Authentication.
Her research on Biometrics focuses in particular on Iris recognition. In her study, which falls under the umbrella issue of Fingerprint recognition, Fingerprint, Noise and Anti spoofing is strongly linked to Spoofing attack. The study incorporates disciplines such as Feature extraction and Signal processing in addition to Wavelet.
Stephanie Schuckers mainly investigates Artificial intelligence, Biometrics, Computer vision, Pattern recognition and Liveness. Her work in Artificial intelligence addresses subjects such as Speech recognition, which are connected to disciplines such as Artificial neural network and Swallowing. Her Biometrics study combines topics in areas such as Data mining, Authentication and Pattern recognition.
Her work on Image processing, Pixel and Image quality is typically connected to Geography as part of general Computer vision study, connecting several disciplines of science. Her research integrates issues of Facial recognition system and Feature in her study of Pattern recognition. Her work carried out in the field of Iris recognition brings together such families of science as IRIS, Iris and Biorthogonal wavelet.
Her primary areas of study are Biometrics, Artificial intelligence, Authentication, Liveness and Keystroke dynamics. Stephanie Schuckers has researched Biometrics in several fields, including Fingerprint, Fingerprint recognition and Longitudinal study. Her Fingerprint course of study focuses on Spoofing attack and Biomedical engineering.
Her Artificial intelligence research is multidisciplinary, incorporating perspectives in NIST, Noise, Computer vision and Pattern recognition. Her study in Authentication is interdisciplinary in nature, drawing from both Data collection, Human–computer interaction, Identity, Mobile computing and Personally identifiable information. Her Keystroke dynamics study combines topics from a wide range of disciplines, such as Password, Speech recognition and Keystroke logging.
Her scientific interests lie mostly in Biometrics, Liveness, Computer security, Artificial intelligence and Authentication. In her work, Stephanie Schuckers performs multidisciplinary research in Liveness and Vulnerability. Stephanie Schuckers combines subjects such as Text filtering and Rejection rate with her study of Computer security.
The Artificial intelligence study which covers Computer vision that intersects with Key frame. Her study looks at the relationship between Authentication and fields such as Human–computer interaction, as well as how they intersect with chemical problems. Her Fingerprint study combines topics in areas such as Artifact, Spoofing attack and Presentation.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Spoofing and Anti-Spoofing Measures
Stephanie A.C Schuckers.
Information Security Technical Report (2002)
Determination of vitality from a non-invasive biomedical measurement for use in fingerprint scanners
Reza Derakhshani;Stephanie A.C. Schuckers;Larry A. Hornak;Lawrence O'Gorman.
Pattern Recognition (2003)
First International Fingerprint Liveness Detection Competition--LivDet 2009
Gian Luca Marcialis;Aaron Lewicke;Bozhao Tan;Pietro Coli.
international conference on image analysis and processing (2009)
Time-series detection of perspiration as a liveness test in fingerprint devices
S.T.V. Parthasaradhi;R. Derakhshani;L.A. Hornak;S.A.C. Schuckers.
systems man and cybernetics (2005)
LivDet 2011 — Fingerprint liveness detection competition 2011
David Yambay;Luca Ghiani;Paolo Denti;Gian Luca Marcialis.
international conference on biometrics (2012)
Non-invasive monitoring of chewing and swallowing for objective quantification of ingestive behavior.
Edward Sazonov;Stephanie Schuckers;Paulo Lopez-Meyer;Oleksandr Makeyev.
Physiological Measurement (2008)
On Techniques for Angle Compensation in Nonideal Iris Recognition
S.A.C. Schuckers;N.A. Schmid;A. Abhyankar;V. Dorairaj.
systems man and cybernetics (2007)
Automatic Detection of Swallowing Events by Acoustical Means for Applications of Monitoring of Ingestive Behavior
E.S. Sazonov;O. Makeyev;S. Schuckers;P. Lopez-Meyer.
IEEE Transactions on Biomedical Engineering (2010)
LivDet 2015 fingerprint liveness detection competition 2015
Valerio Mura;Luca Ghiani;Gian Luca Marcialis;Fabio Roli.
international conference on biometrics theory applications and systems (2015)
Fingerprint Liveness Detection Using Local Ridge Frequencies and Multiresolution Texture Analysis Techniques
A. Abhyankar;S. Schuckers.
international conference on image processing (2006)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: