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Joshua J. Engelsma
Researcher at Michigan State University
Publications - 31
Citations - 447
Joshua J. Engelsma is an academic researcher from Michigan State University. The author has contributed to research in topics: Fingerprint recognition & Fingerprint. The author has an hindex of 8, co-authored 29 publications receiving 257 citations.
Papers
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Journal ArticleDOI
Learning a Fixed-Length Fingerprint Representation
TL;DR: DeepPrint incorporates fingerprint domain knowledge, including alignment and minutiae detection, into the deep network architecture to maximize the discriminative power of its representation, which is the most compact and discrim inative fixed-length fingerprint representation reported in the academic literature.
Journal ArticleDOI
RaspiReader: Open Source Fingerprint Reader
TL;DR: RaspiReader as discussed by the authors is an easy to assemble, spoof resistant, high resolution, optical fingerprint reader, which can be built in under one hour for only US $175.
Journal ArticleDOI
Universal 3D Wearable Fingerprint Targets: Advancing Fingerprint Reader Evaluations
TL;DR: In this article, a molding and casting framework is adopted to build universal 3D fingerprint targets for personal identity verification and fingerprint interoperability studies, which can be used for fingerprint recognition.
Proceedings ArticleDOI
Generalizing Fingerprint Spoof Detector: Learning a One-Class Classifier
Joshua J. Engelsma,Anil K. Jain +1 more
TL;DR: This work trains multiple generative adversarial networks on live fingerprint images acquired with the open source, dual-camera, 1900 ppi RaspiReader fingerprint reader to approach spoof detection as a one-class classification problem.
Posted Content
Universal 3D Wearable Fingerprint Targets: Advancing Fingerprint Reader Evaluations
TL;DR: The design and manufacturing of high-fidelity universal 3D fingerprint targets are presented, which can be imaged on a variety of fingerprint sensing technologies, namely, capacitive, contact optical, and contactless optical, to enable controlled and repeatable fingerprint reader evaluations and also fingerprint reader interoperability studies.