Finger Knuckle Identification in the Wild

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Abstract

Several research studies have established the uniqueness and stability of finger knuckle patterns. Its formation has been linked to genetic factors during the gestation stage. Matching of knuckle creases and patterns is now widely employed to establish the identity of suspects for criminal prosecutions, especially when knuckle patterns are the only piece of evidence available for such investigations. However, such pattern matching adopted by law enforcement personnel is largely manual and, therefore, very time-consuming. It is almost impossible to detect the presence of knuckle patterns and to establish a match, on a real-time basis from a large number of videos and images that are often present in suspects’ mobile phones and laptops. Therefore, completely automated capabilities to detect the presence of knuckle patterns, and to match them from a gallery, are highly sought. This talk will discuss on such challenges and advances for finger knuckle identification in the wild.

Biography

Ajay Kumar received his Ph.D. degree from The University of Hong Kong, Hong Kong, in 2001. He was an Assistant Professor at the Department of Electrical Engineering, IIT Delhi, Delhi, India, from 2005 to 2007. He is currently a Professor at the Department of Computing, The Hong Kong Polytechnic University, Hong Kong. His current research interests are in biometrics with an emphasis on hand biometrics, vascular biometrics, iris, and multimodal biometrics. He holds seven U.S. patents, and has authored on biometrics and computer vision-based industrial inspection. He was on the Editorial Board of the IEEE Transactions on Information Forensics and Security from 2010 to 2013, and served on the program committees of several international conferences and workshops in the field of his research interest. He served as an area chair for CVPR 2019-2022, Program Co-Chair for the IJCB 2011 (Washington DC), ICB 2013 (Madrid), and CVPR 2013-2022 Biometrics Workshops. He has also served as the General Co-Chair of the IJCB 2014 (Tampa), ISBA 2015 (Hong Kong), and General Chair for WIFS 2018 held in Hong Kong. He serves on the Editorial Board of IEEE Transactions on Pattern Analysis and Machine Intelligence and has served on the IEEE Biometrics Council as the Vice President (Publications) during 2011-2015. He is a Fellow of IAPR and IEEE.

Ajay Kumar
The Hong Kong Polytechnic University, Hong Kong