Juan Tapia

Degree: Ph.D.
Position: Senior researcher
Office: D19 room 2.02
Email: juan.tapia-farias -at- h-da.de
Telephone: +49 6151 533 605 26

Doctor Tapia 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 the Department of Electrical Engineering, Universidad de Chile, in 2012 and 2016, respectively. In addition, he spent one year of internship with the University of Notre Dame. In 2016, he received the Award for Best Ph.D. Thesis. From 2016 to 2017, he was an Assistant Professor at Universidad Andres Bello. From 2018 to 2020, he was the Research and Development Director for the electricity and electronics area with INACAP, Universidad Tecnologica de Chile, the Research and Development Director of TOC Biometrics Company, and an International Consultor on biometrics for face, iris applications and forensic/tampering ID-card detection. He is currently an Entrepreneur and a Senior Researcher with Hochschule Darmstadt (HDA), leading EU projects, such as iMARS, EINSTEIN and CarMen. His main research interests include pattern recognition and deep learning applied to iris biometrics, morphing, feature fusion, and feature selection. He serves as a reviewer for a number of journals and conferences. He is on behalf of the German DIN Member of the ISO/IEC Sub-Committee 37 on biometrics.

Research Interest

  • Differential Morphing Attack Detection
  • Biometric and multi-biometric systems
  • Iris Presentation Attack Detection
  • Iris Segmentation in multiple Spectra
  • Industrial Application of Deep Learning and Machine Learning

Current Offerings (details)

Publications

Journal Articles

Kessler R, Raja K, Tapia J, Busch C, „Towards minimizing efforts for Morphing Attacks—Deep embeddings for morphing pair selection and improved Morphing Attack Detection„. PLoS ONE 19(5): e0304610.[Link]

R. P. Markham, J. M. Espín, M. Nieto-Hidalgo and Juan. E. Tapia, „Open-Set: ID Card Presentation Attack Detection using Neural Style transfer,“ in IEEE Access. pages 1-1, 06 May 2024. [Link]

Claudio Yañez, Juan E. Tapia, Claudio Perez and Christoph Busch, „Occlusion Masks on Gender Classification from Iris Texture„, IET Biometrics, 2024. [Link]

Leonardo Causa, Juan E. Tapia, Andres Valenzuela, Daniel Benalcazar, Enrique Lopez Droguett, Christoph Busch, „Analysis of behavioural curves to classify iris images under the influence of alcohol, drugs, and sleepiness conditions“, Expert Systems with Applications, Volume 242, 2024,[Link]

D. P. Benalcazar, Juan E. Tapia, M. Vasquez, L. Causa, E. L. Droguett and C. Busch, „Toward an Efficient Iris Recognition System on Embedded Devices,“ in IEEE Access, vol. 11, pp. 133577-133590, 2023. [Link]

T. Schlett, C. Rathgeb, Juan E. Tapia and C. Busch, „Considerations on the Evaluation of Biometric Quality Assessment Algorithms,“ in IEEE Transactions on Biometrics, Behavior, and Identity Science, 2023, [Link].

Daniel Benalcazar, Juan Tapia, Sebastian Gonzalez and Christoph Busch, „Synthetic ID Card Image Generation for Improving Presentation Attack Detection”, Transactions on Information Forensic and Security (T-IFS) 2023,[Link]

M. Vitek et al. Juan E. Tapia, „Exploring Bias in Sclera Segmentation Models: A Group Evaluation Approach,“ in IEEE Transactions on Information Forensics and Security, 2022, [Link].

Juan E. Tapia, Andres Valenzuela, Rodrigo Lara, Marta Gomez-Barrero and Christoph Busch. „Selfie Periocular Verification using an Efficient Super-Resolution Approach“ in IEEE Access, 2022. [Link] [Github].

Maureira, Jose and Tapia, Juan E. and Arellano, Claudia and Busch, Christoph, „Analysis of the synthetic periocular iris images for robust Presentation Attacks Detection algorithms“ in IET Biometrics, 2022. [Link] [Github].

Luis Guarda, Juan E. Tapia, Enrique Lopez Droguett, Marcelo Ramos. „A Novel Capsule Neural Network-Based Model for Drowsiness Detection Using Electroencephalography Signals“ in Expert System with Applications, Volume 201, 2022, 116977, ISSN 0957-4174. [Link]-[Arxiv].

Juan E. Tapia,  and C. Busch, “Single Morphing Attack Detection using Feature Selection and Visualisation based on Mutual Information” in IEEE Access 2021, vol. 9, pp. 167628-167641, 2021. [Link].

Juan E. Tapia, S. Gonzalez and C. Busch, „Iris Liveness Detection Using a Cascade of Dedicated Deep Learning Networks,“ in IEEE Transactions on Information Forensics and Security, vol. 17, pp. 42-52, 2022 [Link].

Juan E. Tapia, E. L. Droguett, A. Valenzuela, D. P. Benalcazar, L. Causa and C. Busch, „Semantic Segmentation of Periocular Near-Infra-Red Eye Images Under Alcohol Effects,“ in IEEE Access, vol. 9, pp. 109732-109744, 2021 [Link].

S. Gonzalez, A. Valenzuela, and Juan Tapia, „Hybrid Two-Stage Architecture for Tampering Detection of Chipless ID Cards,“ IEEE Transactions on Biometrics, Behavior, and Identity Science [Link].

A. Valenzuela, C. Arellano and Juan Tapia, „Towards an Efficient Segmentation Algorithm for Near-Infrared Eyes Images,“  IEEE Access, vol. 8, pp. 171598-171607, 2020. [Link].

Juan Tapia, Claudio Perez “Clusters of Features Using Complementary Information applied to Gender Classification from Face Images” IEEE- Access 2019. Vol.7 pp:79374 – 79387.  [Link].

Ignacio Viedma, Juan Tapia, Andres Iturriaga and Christoph Busch, “Relevant features for Gender Classification in NIR Periocular Images” IET Biometrics 2019. Volume: 8, pp: 340 – 350 Issue: 5. [Link].

Juan Tapia And Claudia Arellano “Soft-Biometrics Encoding Conditional GAN for Synthesis of NIR Periocular Images” Elsevier, Journal Future Generation Computer Systems, Volume 97, August 2019, Pages 503-511. [Link].

Juan Tapia and Claudio A. Perez, “Gender Classification from NIR Images by using Quadrature Encoding Filters of the Most Relevant Features”, IEEE- Access 2019, Vol 7, pp 29114-29127, 2019. Open Access [Link].

Juan E. Tapia; Perez, Claudio. A.; Bowyer Kevin W “Gender Classification from the Same Iris Code Used for Recognition“, IEEE Transaction Information Forensics and Security, vol. 11, no. 8, pp. 1760-1770, Aug. 2016. [Link].

Juan Tapia, Perez, C.A., “Gender Classification Based on Fusion of Different Spatial Scale Features Selected by Mutual Information From Histogram of LBP, Intensity, and Shape,” IEEE Transactions on Information Forensics and Security, vol.8, no.3, pp.488,499, March 2013. [Link].

C. Perez, Juan Tapia, P. Estevez, and C. Held, “Gender classification from face images using mutual information and feature fusion,” International Journal Optomechatronics, vol. 6, no. 1, pp. 92–119, 2012. [Link].

Industrial Applications

Sebastian Gonzalez, Claudia Arellano, Juan Tapia, “DeepBlueBerry: Quantification of Blueberries in the Wild Using Instance Segmentation”, IEEE- Acess 2019, Vol.7. pp: 105776 – 105788. [Link]

Felipe I. San Martin and Claudio A. Perez and Juan E. Tapia and Shahzad Virani and Marcus J. Holzinger “Automatic space object detection on all-sky images from a synoptic survey synthetic telescope array” –Elsevier, Advances in Space Research 2019. [Link].

Lopez Droguett E, Tapia Juan, Yanez C, Boroschek R. Semantic segmentation model for crack images from concrete bridges for mobile devices. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability. October 2020. [Link].

Grotte, M and Virani, S and Holzinger, M and Register, A and Perez, C and Tapia Juan, “All-Sky Image Fusion for a Synoptic Survey Telescope in Arctic and Antarctic Domains“, Advanced Maui Optical and Space Surveillance Technologies Conference, 2016.[Link].

Book Chapters

Ignacio Viedma, Sebastian Gonzalez, Ricardo Navarro, Juan Tapia. Chapter: , „Fraud Attack Detection in Remote Verification Systems for Non-enrolled Users“. Edited by Gaurav Jaswal, Vivek Kanhangad, Raghavendra Ramachandra.- AI and Deep Learning in Biometric Security, Trends, Potential, and Challenges. CRC – Press. March 2021 [Link].

Juan Tapia, Claudia Arellano, Ignacio Viedma. Chapter 11 is called: “Sex-classification from Cell-Phones Periocular Images “. Edited by Dr. Ajita Rattani, Dr. Reza Derakhshani, Prof. Arun Ross. Selfie Biometrics Book on Springer 2019 – Advances in Computer Vision and Pattern Recognition. [Link].

Juan E. Tapia, Chapter 8 called: Gender Classification from near-infrared Iris Images on IET Book series “Iris and Periocular Biometrics” Edited by the professor: Christian Rathged and Christoph Busch from Darmstadt University, Germany & Gjøvik University College, Norway 2017. [Link].

Juan E. Tapia and Carlos Aravena, Chapter 9 called: “Gender Classification from NIR Iris Images using Deep Learning,” Edited by Bir Bhanu and Ajay Kumar, published on Deep Learning for Biometrics on Springer 2017. [Link].

Conference Papers

Juan E. Tapia, Mathias Ibsen and Christoph Busch, „Beauty Score Fusion for Morphing Attack Detection“, British Machne Computer Vision (BMCV) 2024, Special session: Synthetic Realities and Biometric Security: Advances in Forensic Analysis and Threat Mitigation (SRBS), 2024, Glasgow, UK.

Alvaro S. Rocamora and Juan M. Espin and Juan E. Tapia, Few-Shot Learning: Expanding ID Cards Presentation Attack Detection to Unknown ID Countries“, 2024, International Joint Conference in Biometrics (IJCB) 2024, Buffalo, NY, USA. [Link]

Juan E. Tapia, Naser Damer, Christoph Busch, Juan M. Espin, Javier Barrachina, Alvaro S. Rocamora et al. „First Competition on Presentation Attack Detection on ID Card“, 2024, International Joint Conference in Biometrics (IJCB) 2024, Buffalo, NY, USA. [Link]

Lambert Igene et al.  Juan E. Tapia, Carlos Aravena, Daniel Schulz, et al. „Face Liveness Detection Competition (LivDet-Face) – 2024, International Joint Conference in Biometrics (IJCB) 2024, Buffalo, NY, USA.[Link]

Juan Tapia, Christoph Busch. “ Classify NIR Iris images Under Alcohol/Drugs/Sleepiness Conditions Using a Siamese Network„, 26th Iberoamerican Congress on Pattern Recognition (CIARP), 2023, [Link].

Carlos Aravena, Diego Pasmino, Juan Tapia, Christoph Busch. „Face Image Quality Estimation on Presentation Attack Detection„, 26th Iberoamerican Congress on Pattern Recognition (CIARP), 2023, [Link].

Juan Tapia, Christoph Busch. „Impact of Synthetic Images on Morphing Attack Detection Using a Siamese Network„, 26th Iberoamerican Congress on Pattern Recognition (CIARP), 2023, [Link].

Juan Tapia, Christoph Busch. „AlphaNet: Single Morphing Attack Detection using Multiple Contributors„, Proc. Intl. Workshop on Information Forensics and Security (WIFS), 2023, [Link]. 

Tinsley, Patrick*; Purnapatra, Sandip; Mitcheff, Mahsa; Boyd, Aidan; Crum, Colton R; Fang, Meiling; Damer, Naser; Liu, Xingyu; wang, caiyong; Sun, Xianyun; chang, zhaohua chang; Li, Xinyue; Guangzhe, Zhao; Tapia, Juan; Busch, Christoph; Aravena, Carlos; Schulz, Daniel; Schuckers, Stephanie; Bowyer, Kevin; Flynn, Patrick; Czajka, Adam, „Iris Liveness Detection Competition (LivDet-Iris)“ – The IJCB 2023 Edition. [Link]

Fang, Meiling*; Huber, Marco; Fierrez, Julian; Ramachandra, Raghavendra; Damer, Naser; Alkhaddour, Alhasan; Kasantcev, Maksim; Pryadchenko, Vasiliy; Yang, Ziyuan; Huangfu, Huijie; Chen, Yingyu; Zhang, Yi; Pan, Yuchen; Jiang, Junjun; Liu, Xianming; Sun, Xianyun; wang, caiyong; Liu, Xingyu; chang, zhaohua chang; Guangzhe, Zhao; Tapia, Juan; Gonzalez-Soler, Lazaro  Janier; Aravena, Carlos ; Schulz, Daniel. „SynFacePAD 2023: Competition on Face Presentation Attack Detection Based on Privacy-aware Synthetic Training Data“ – The IJCB 2023 Edition.[Link]

Juan Tapia, Haoyu Zhang, Raghavendra Ramachandra, Kiran Raja, Christoph Busch. „Simulating Print/Scan Textures for Morphing Attack Detection“, 31st European Signal Processing Conference, EUSIPCO 2023, Helsinki, Finland. [Link]

Juan Tapia and Christoph Busch, „Face Feature Visualisation of Single Morphing Attack Detection”, in Proc. Intl. Workshop on Biometrics and Forensics (IWBF), 2023. [Link].

Pamela Zurita, Daniel Benalcazar and Juan Tapia, „Fitness-for-Duty Classification using Temporal Sequences of Iris Periocular images”, in Proc. Intl. Workshop on Biometrics and Forensics (IWBF), 2023.[Link].

Diego Pasmino, Carlos Aravena, Juan Tapia and Christoph Busch, „Flickr-PAD: New Face High-Resolution Presentation Attack Detection Database”, in Proc. Intl. Workshop on Biometrics and Forensics (IWBF), 2023.[Link].

Laurine Dargaud, Mathias Ibsen, Juan Tapia, and Christoph Busch, “A Principal Component Analysis-Based Approach for Single Morphing Attack Detection”, in IEEE/CVF Winter Conf. on Applications of Computer Vision Workshops (WACVw), 2023. [Link].

Henning Myhrvold, Haoyu Zhang, Juan Tapia, Raghavendra Ramachandra, and Christoph Busch, „Explainable Visualization for Morphing Attack Detection“ Norwegian Information Security Conference (NISK) 2022 at UiA, Kristiansand, Monday 28 Nov – Thursday 1 Dec. [Link]

Dailé Osorio-Roig, Torsten Schlett, Christian Rathgeb, Juan Tapia, Christoph Busch, „Exploring Quality Scores for Workload Reduction in Biometric Identification“, in Intl. Workshop on Biometrics and Forensics (IWBF), 2022.[Link].

Torsten Schlett, Christian Rathgeb, Juan Tapia, Christoph Busch, „Evaluating Face Image Quality Score Fusion for Modern Deep Learning Models“, in Proceedings of the IEEE 21st International Conference of the Biometrics Special Interest Group (BIOSIG), Darmstadt, September 14-16, 2022.[Link].

Juan Tapia, Enrique Lopez Droguett, Christoph Busch, „Alcohol Consumption Detection from Periocular NIR Images Using Capsule Network“, 26th International Conference on Pattern Recognition (ICPR-2022), August 21-25, 2022, Montréal Québec. [Link] [Github].

Daniel Schulz, Jose Maureira, Juan Tapia, Christoph Busch, „Identity Documents Image Quality Assessment“ 30th European Signal Processing Conference, EUSIPCO 2022, Belgrade, Serbia, August 29 – 02 September. [Link].

Sebastian Gonzalez, Juan E. Tapia, „Towards Refining ID Cards Presentation Attack Detection Systems using Face Quality Index“, 30th European Signal Processing Conference, EUSIPCO 2022, Belgrade, Serbia, August 29 – 02 September [Link].

C. Yáñez and Juan E. Tapia, „Image Quality Assessment on Identity Documents,“ 2021 International Conference of the Biometrics Special Interest Group (BIOSIG), 2021, pp. 1-5. [Link].

C. Wang, Juan E. Tapia et al., „NIR Iris Challenge Evaluation in Non-cooperative Environments: Segmentation and Localization,“ 2021 IEEE International Joint Conference on Biometrics (IJCB), 2021, pp. 1-10, doi: 10.1109/IJCB52358.2021.9484336 [Link].

Juan E. Tapia, M. Gomez-Barrero and C. Busch, „An Efficient Super-Resolution Single Image Network using Sharpness Loss Metrics for Iris,“ 2020 IEEE International Workshop on Information Forensics and Security (WIFS), 2020, pp. 1-6. [Link].

M. Vitek, A. Das, Y. Pourcenoux, A. Missler, C. Paumier, S. Das, I. De Ghosh, D. R. Lucio, L. A. Zanlorensi Jr., D. Menotti, F. Boutros, N. Damer, J. H. Grebe, A. Kuijper, J. Hu, Y. He, C. Wang, H. Liu, Y. Wang, Z. Sun, D. Osorio-Roig, C. Rathgeb, C. Busch, Juan Tapia, A. Valenzuela, G. Zampoukis, L. Tsochatzidis, I. Pratikakis, S. Nathan, R. Suganya, V. Mehta, A. Dhall, K. Raja, G. Gupta, J. N. Khiarak, M. Akbari-Shahper, F. Jaryani, M. Asgari-Chenaghlu, R. Vyas, S. Dakshit, S. Dakshit, P. Peer, U. Pal, V. Struc “SSBC 2020: Sclera Segmentation Benchmarking Competition in the Mobile Environment“, in Proc. International Joint Conference on Biometrics (IJCB) Houston (USA), September 2020. [Link]

Priyanka Das and Joseph McGrath and Zhaoyuan Fang and Aidan Boyd and Ganghee Jang and Amir Mohammadi and Sandip Purnapatra and David Yambay and Sébastien Marcel and Mateusz Trokielewicz and Piotr Maciejewicz and Kevin Bowyer and Adam Czajka and Stephanie Schuckers and Juan Tapia and Sebastian Gonzalez and Meiling Fang and Naser Damer and Fadi Boutros and Arjan Kuijper and Renu Sharma and Cunjian Chen and Arun Ross, Iris Liveness Detection Competition (LivDet-Iris) — The 2020 Edition, International Joint Conference on Biometrics (IJCB) Houston (USA), September 2020.[Link]

Molina, D., Causa, L. and Tapia, Juan., (2020). Toward to Reduction of Bias for Gender and Ethnicity from Face Images using Automated Skin Tone Classification. In: Brömme, A., Busch, C., Dantcheva, A., Raja, K., Rathgeb, C. & Uhl, A. (Hrsg.), BIOSIG 2020 – Proceedings of the 19th International Conference of the Biometrics Special Interest Group. Bonn: Gesellschaft für Informatik e.V.. (S. 281-289). [Link]

Andres Valenzuela, Claudia Arellano, and Juan Tapia, “An Efficient Dense Network for Semantic Segmentation of Eyes Images Captured with Virtual Reality Lens”, 15th International Conference on Signal-Image Technology & Internet-Based Systems. 26-29 November 2019. Sorrento, Naples, Italy. [Link]

Juan Tapia and Claudia Arellano, “Gender Classification from Iris Texture Images Using a New Set of Binary Statistical Image Features”,  IAPR International Conference on Biometrics (ICB-2019), 4-7 June, Crete, Greece. [Link]

Ignacio Viedma and Juan E. Tapia, “Deep Gender Classification and Visualization of Near-Infra-Red Periocular-Iris images”. The third International Conference on Image Processing, Application, and Systems, Inria Sophia, Antipolis, France, 2018.[Link]

Juan E. Tapia, Christian Rathgeb, and Christoph Busch, “Sex-Prediction from Periocular Images across Multiple Sensors and Spectra”, The 14th International Conference on Signal-Image Technology & Internet-Based Systems, November 26-29, Las Palmas, Gran Canarias, Spain, 2018. [Link]

Juan E. Tapia And Carlos Aravena, “Gender Classification from Periocular NIR Images using Fusion of Convolutional Neural Networks Models”, The IEEE International Conference on Identity, Security and Behavior Analysis (ISBA), Singapore, 10-14 January 2018. [Link]

Juan E. Tapia And Ignacio Viedma, “Gender Classification from Multispectral Periocular images”, International Joint Conference on Biometrics (IJCB-2017), Special Session: Ocular Biometrics in the Visible Spectrum, Denver, 2017,1-4 October.[Link]

Juan Tapia, C. Aravena, D. Schulz, C. Perez: “Gender classification on face images under challenging conditions of occlusions, low quality, and unconstrained environments”, ICCV workshop Forensic Application of Computer Vision (FACV), December 12, Santiago, CHILE. 2015. [Link]

Tapia Juan; Perez, Claudio.A.; Bowyer K.W “Gender Classification from Iris Images using Fusion of Uniform Local Binary Patterns “, Computer Vision – ECCV 2014 Workshops – Zurich, Switzerland, September 6-7 and 12, 2014, Proceedings, Part II. [Link]

Tapia, Juan. E., Perez, Claudio.A.,” Gender Classification using One-Half Face and Feature Selection based on Mutual Information” IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2013,  pp.3282,3287, 13-16 Oct. 2013. [Link].

Awards

  • 2020, Livedet, First Place [Link]
  • 2016, Best Ph.D. Thesis Award at Universidad de Chile, Electric Engineering Department.
  • 2014, Doctoral consortium, International Joint Conference on Biometrics IJCB 2014.
  • 2011, Ph.D. Award by CONICYT, Chile.