AN OVERVIEW OF BIOMETRIC IDENTIFICATION TECHNOLOGY
Chinmay Sahu, PhD
Thales, USA
Abstract: Biometrics has become a key tool for secure and reliable identification using unique physical and behavioral characteristics. Among these, fingerprint recognition is one of the most commonly used methods, relying on overall fingerprint details and three key features: patterns (like loops and whorls), tiny unique points (called minutiae), and even smaller details like pores and ridges for matching. Traditional fingerprint systems have relied on standard comparison methods, but recent breakthroughs in artificial intelligence have transformed the field. These new approaches are better at identifying and matching features, offering greater accuracy and reliability through advanced techniques like residual UNet and vision transformers. The effectiveness of biometric systems is often judged by how often they mistakenly accept or reject someone, measured by rates like false acceptance and false rejection. Another widely used biometric method, iris recognition, also benefits from these advancements, using specialized techniques like Gabor filters and similar cutting-edge approaches to capture the unique patterns in a person’s iris. This discussion wraps up by underscoring how these advancements have advanced biometric systems, showing their potential to make identification more accurate, scalable, and secure in everyday use.
BIO: Dr. Chinmay Sahu is a computer vision research scientist at Thales, DIS USA, with expertise in multimodal biometrics, deep learning, machine learning, image processing, and computer vision. With over a decade of experience in machine learning and control systems, he has developed advanced algorithms for fingerprint and iris recognition, addressed bias in face recognition, improved IoT localization, and tackled biomedical challenges.
Dr. Sahu earned his PhD from the Cosine Lab at Clarkson University, Potsdam, New York. His research contributions have been featured in prestigious IEEE Transactions and conferences, focusing on biometrics, localization, and process control. Additionally, he has served as a reviewer for leading journals and conferences, including IJCB, IEEE IOT, Pattern Recognition, TIMC, ICIP, ICLR, IEEE ICME, and the ACM Conference on Fairness, Accountability, and Transparency. He is also an affiliate of the Organization of Scientific Area Committees for Forensic Science at the National Institute of Standards and Technology.
Thursday, March 06, 2025, 12:30-1:30 pm, ZOOM
Join Link: https://clarkson.zoom.us/j/94088483647?pwd=2bmoDHPYozdIWgj1SrdVbqQaQUMUiz.1