Keynote Speakers

Title: "Fingerprint Pre-Processing with Deep Learning: Some Baby Steps"

Abstract: The talk involves some of the speaker's trials and tribulations with deep learning in fingerprint biometrics, through the work of PhD student Dr.Indu Joshi. The talk will be a random walk through deep architectures for fingerprint enhancement tasks, as seen from the eyes of a perennial Doubting Thomas and an unwilling and reluctant skeptic. The talk will focus on the speaker's struggles to come to terms with concepts which have physical significance, but comparatively little in terms of mathematical rigour, or algorithmic efficiency, but have the potential to produce hitherto unseen levels of startling results. The talk will start from scratch, delve a bit into history and timelines, and look into some fingerprint-related applications of deep neural networks based on his limited understanding of traditional machine learning, and try to delve into related concepts, half of which he cannot readily explain well. The talk will use a `confuse if not convince' approach, and fervently hope that the confusion matrix approximates a diagonal one.

Bio: Sumantra Dutta Roy is a B.E. (Computer Engineering) from D.I.T., Delhi (1993), and completed his M.Tech and Ph.D. degrees at the Department of Computer Science and Engineering, I.I.T. Delhi, in 1995 and 2001, respectively. He started his career in teaching and research in the Department of Electrical Engineering at I.I.T. Bombay, where he worked from 2001 to early 2007 as an Assistant Professor. From 2007 to 2018, he was an Associate Professor in the Department of Electrical Engineering at I.I.T. Delhi. Since 2018, he has been a Professor in the Department of Electrical Engineering at I.I.T. Delhi. He was a visiting faculty member at Hiroshima University in 2018 and 2019. He is a recipient of the 2004 INAE Young Engineer Award (Indian National Academy of Engineering), and the 2004 - 05 BOYSCAST Fellowship of the Department of Science and Technology, Government of India. He has been an Associate Editor of the Pattern Recognition Letters since 2011. His research interests are in Computer Vision and Image Analysis, Pattern Recognition and Machine Learning, Medical Informatics, Biometrics, Video and Image Coding, Music Information Retrieval, and Bioinformatics.

Title: "Fingervein Presentation Attack Detection: Vulnerability and Detection" 

Abstract: This talk summarizes the progress achieved in fingervein biometric presentation attacks, covering different types of Presentation Attack Instruments (PAI) and their vulnerabilities. Furthermore, an overview of different detection techniques is presented.

Bio: Raghavendra Ramachandra obtained a Ph.D. in computer science and technology from the University of Mysore, Mysore India and Institute Telecom, and Telecom Sudparis, Evry, France (carried out as collaborative work) in 2010. He is currently a full professor at the Institute of Information Security and Communication Technology (IIK), Norwegian University of Science and Technology (NTNU), Gjøvik, Norway. He was a researcher with the Istituto Italiano di Tecnologia, Genoa, Italy, where he worked with video surveillance and social signal processing. His main research interests include deep learning, machine learning, data fusion schemes, and image/video processing, with applications to biometrics, multi-modal biometric fusion, human behaviour analysis, and crowd behaviour analysis. He has authored several papers and is a reviewer for several international conferences and journals. He also holds several patents in biometric presentation attack detection and morphing attack detection. He has also been involved in various conference organizing and program committees and has served as an associate editor for various journals. He has participated (as a PI, co-PI or contributor) in several EU projects, IARPA USA and other national projects. He is serving as an editor of the ISO/IEC 24722 standards on multi-modal biometrics and an active contributor to the ISO/IEC SC 37 standards on biometrics. He has received several best paper awards, and he is also a senior member of IEEE.