ACI: Computing Seminar Series - Biometric Fingerprinting and Cybersecurity
October 26, 2022
Where: DCIH 445
When: November 4th, 2022, 2:30 PM - 5 PM
Refreshments: Light refreshments will be provided.
Talk Title: Automated Fingerprint Identification Systems (AFIS): Challenges and Future Directions
Talk Abstract: Over the past several decades, automated fingerprint identification systems (AFIS) have become incredibly pervasive throughout society in a number of different applications, including, e.g., mobile authentication and payments, access control, national ID, border crossing management, and forensics. The successes of AFIS can be primarily attributed to their high matching accuracy (TAR>99% @ FAR=0.01%) and also the statistically studied uniqueness and permanence properties of fingerprints. However, despite the tremendous success of AFIS, unsolved problems remain. This talk highlights a few of these challenging problems and proposes algorithms and methods to address them. Specifically, we demonstrate through our work how the latest advances in computer vision and deep learning can be used to make fingerprint recognition algorithms more accurate, secure, fast, and applicable to all ages. Finally, we conclude by providing direction for future research.
Speaker Bio: Joshua J. Engelsma graduated magna cum laude with a B.S. degree in computer science from Grand Valley State University, Allendale, Michigan, in 2016. He completed his Ph.D. in Computer Science at Michigan State University in 2021. His research interests include pattern recognition, computer vision, and image processing with applications in biometrics. He won the best paper award at the 2019 IEEE International Conference on Biometrics (ICB), and the 2020 Michigan State University College of Engineering Fitch Beach Award. He was an Applied Scientist with Amazon One working on palm-print recognition. He currently works as a Senior Scientist at Rank One Computing, where he is developing fingerprint-recognition algorithms.