SPS Webinar: Presentation Attack Detection on ID Cards
Date: 06-November-2025
Time: 08:00 AM ET (New York Time)
Presenters: Dr. Juan Tapia & Dr. Daniel Benalcazar
Based on the IEEE Xplore® article: “Synthetic ID Card Image Generation for Improving Presentation Attack Detection”
Published: IEEE Transactions on Information Forensics and Security, March 2023
Download article: Original article is open access and publicly available for download: ARTICLE LINK
Abstract
Deep learning solutions to detect such frauds have been presented in the literature oriented to information security and forensics. However, due to privacy concerns and the sensitive nature of personal identity documents, developing a dataset with the necessary number of examples for training deep neural networks is challenging. This talk explores different methods for synthetically generating ID card images to increase the amount of data while training fraud-detection networks. These methods include image processing analysis approach, Generative Adversarial Networks and new application based on Foundation models.
Biography
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Dr. Juan Tapia |
Dr. Daniel Benalcazar |
Juan Tapia (Senior Member, IEEE) received the P.E. degree in electronics engineering from Universidad Mayor in 2004, and the M.S. and Ph.D. degrees in electrical engineering from Universidad de Chile in 2012 and 2016, respectively. He also completed a year of internship at the University of Notre Dame and was awarded for Best Ph.D. Thesis in 2016.
He is currently an Entrepreneur and Senior Researcher at Hochschule Darmstadt (h-da), where he leads EU projects like iMARS, EINSTEIN, and CarMen. He served as an Assistant Professor at Universidad Andres Bello from 2016 to 2017, and from 2018 to 2020, he worked as the R&D Director for the electricity and electronics sector at INACAP, the R&D Director of TOC Biometrics, and an International Consultant on biometrics concerning face, iris, and forensic/tampering ID-card detection. His research focuses on pattern recognition and deep learning related to iris biometrics, morphing, and tampering.
Dr. Tapia reviews for various journals and conferences and represents the German DIN as a member of the ISO/IEC Sub-Committee 37 on biometrics.
Daniel Benalcazar (Member, IEEE) received the B.S. degree in electronics and control engineering from Escuela Politecnica Nacional, Quito, in 2012, the M.S. degree in electrical engineering from The University of Queensland, Australia, in 2014, with a minor in biomedical engineering, and the Ph.D. degree in electrical engineering from Universidad de Chile, Chile, in 2020.
He is currently a PI Researcher at Sovos company in Equator. From 2015 to 2016, he worked as a Professor with the Central University of Ecuador. Ever since, he has participated in research projects in biomedical engineering and biometrics.
