What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- Machine learning
- Statistics
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.
Her most cited work include:
- Spoofing and Anti-Spoofing Measures (229 citations)
- Determination of vitality from a non-invasive biomedical measurement for use in fingerprint scanners (161 citations)
- Time-series detection of perspiration as a liveness test in fingerprint devices (149 citations)
What are the main themes of her work throughout her whole career to date?
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.
She most often published in these fields:
- Artificial intelligence (52.88%)
- Biometrics (43.46%)
- Computer vision (31.41%)
What were the highlights of her more recent work (between 2015-2021)?
- Biometrics (43.46%)
- Artificial intelligence (52.88%)
- Authentication (9.42%)
In recent papers she was focusing on the following fields of study:
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.
Between 2015 and 2021, her most popular works were:
- Review of the Fingerprint Liveness Detection (LivDet) competition series: 2009 to 2015 * (54 citations)
- LivDet iris 2017 — Iris liveness detection competition 2017 (47 citations)
- Social Behaviometrics for Personalized Devices in the Internet of Things Era (44 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Machine learning
- Statistics
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.
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