The 8th National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics
(NCVPRIPG) 21-23 July- 2023, IIT Jodhpur
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About the Workshop
About the Workshop
The workshop will cover a variety of topics, including the latest advancements in contactless hand Biometrics and gesture recognition for research and practices with image/ video, and mm-radar sensors, and the potential applications in areas such as forensics, social robotics, HCI, healthcare, smart city, and transportation More specifically, it discusses topics including, but not limited to palmprint, finger knuckle, fingerprint photo, palm vein, hand shape, fingernail, and hand gesture movement recognition. Its broad scope includes advances in fundamental computer vision, HCI, pattern recognition, and deep learning techniques relevant to hand biometric traits, gesture actions, new algorithms, and analysis of specific applications.
Topics of Interest
Topics of Interest
Hard hand biometrics: hand geometry, finger knuckle, fingernail, fingerprint photo, palmprint, palm vein, finger vein
Soft hand biometrics: hand expression, signature, keystroke dynamics
Multi-biometrics
Cross-domain recognition: fingerprint photo vs contact-based fingerprint
Person identification and re-identification
EMG-based hand gesture recognition
mm-wave radar-based hand gesture recognition
Hand gesture-based interaction: cross-sensor, cross-modality
3D Hand pose estimation
3D analysis and hand biometric synthesis: adversarial learning, diffusion models
Presentation attacks and detection
Ethics and fairness issues
Applications: Forensics, social robotics, HCI, healthcare, smart city, and transportation
Databases, benchmarking and new protocols, robustness analysis.
A PDF of the Call for Papers is available here.
Department of Electrical Engineering,
Indian Institute of Technology Delhi, India
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.
Department of Information Security and Communication Technology,
Norwegian University of Science and Technology, Norway
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.
Technical Program Committee
Technical Program Committee
Dr. Vivek Kanhangad
Indian Institute of Technology Indore, India
Dr. Aditya Nigam
Indian Institute of Technology Mandi, India
Indian Institute of Technology Indore, India
Birla Institute of Technology and Science Pilani, Pilani campus
Paper submission instructions
We invite papers upto 6 pages including references (single column).
The review process is single blind i.e. the authors can include their names and affiliation in the submission at the time of review.
The template is available at Springer Conference Proceedings page
Upload your paper. You may edit the Paper, Title, and Abstract until the submission deadline.
Paper can be submitted at CMT (https://cmt3.research.microsoft.com/CHBGR2023/)
The paper ID must be included in the manuscript before uploading it on the portal. Paper ID may be created on CMT by entering the title, abstract, and subject areas.
Accepted Papers
Accepted Papers
Aman Attrish, Nagasai Bharat, VIJAY ANAND, Vivek Kanhangad, "A Deep Learning Driven Contactless Finger Recognition System", NCVPRIPG-CHBGR, 2023.
Hailin Li, Raghavendra Ramachandra , "Deep Features for Contactless Fingerprint Presentation Attack Detection: Can They Be Generalized?", NCVPRIPG-CHBGR, 2023.
Neelam Saini, Anand Mishra, "Unlocking Communication: Exploring Hand Gesture-based Interaction in a Code-Mixed Conversational Speech-to-Indian-Sign-Language Translator", NCVPRIPG-CHBGR, 2023.
Geetika Arora, Utkarsh Tiwari, Ashutosh Bhatia, Kamlesh Tiwari, "A Touchless Palm-photo Recognition System for Mobile and Handheld Devices", NCVPRIPG-CHBGR, 2023.
Charulkumar J Chodvadiya, Kinshuk Gaurav Singh, Ritesh Vyas, "Detection of Palmprint from Contactless Smartphone-Based Video Hand Dataset", NCVPRIPG-CHBGR, 2023.
Shreya Sidabache, Kruti Pandya, Toukir Sabugar, Ritesh Vyas, "Improved localization of knuckle regions for contactless acquisition", NCVPRIPG-CHBGR, 2023.
Accepted Posters
Accepted Posters
Geetanjali Sharma, Gaurav Jaswal, Aditya Nigam, "Contactless 3D Palmprint Recognition using domain specific structural features", NCVPRIPG-CHBGR, 2023.
Gaurav Jaswal, Arnav Bhavsar, Varun Dutt,"Decoding Imagined Handwriting into Text from non-invasive brain signals", NCVPRIPG-CHBGR, 2023.
Contact Us
Contact Us
To get more information about the Workshop please write a mail at chbgr2023@gmail.com
Important Dates
Important Dates
Full Paper submission: 30 May 2023 10 June 2023 (Extended)
Decision to authors: 15 June 2023 25 June 2023
Final versions (camera-ready papers): 01 July 2023
Full registration for one author for each paper/poster to be made by: 01 July 2023
Workshop Date - 22 July 2023 (Saturday)
CHBGR-2023 will be held in-person, 1-Day Workshop
Total Duration: 3.5 hours
Keynote talk(s):
Keynote talk 1: 45 minutes
Keynote talk 2: 45 minutes
Oral Paper Presentation and Poster Presentations: 1.5 hours (in parallel)
Industry Demo and Vote of Thanks: 30 minutes
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