• Anchored kernel hashing for cancelable template protection for cross-spectral periocular data 

      Bylappa Raja, Kiran; Ramachandra, Raghavendra; Busch, Christoph (Journal article; Peer reviewed, 2019)
      Periocular characteristics is gaining prominence in biometric systems and surveillance systems that operate either in NIR spectrum or visible spectrum. While the ocular information can be well utilized, there exists a ...
    • Automated Authentication of Audiovisual Contents: A Biometric Approach 

      Khodabakhsh, Ali (Doctoral theses at NTNU;2021:213, Doctoral thesis, 2021)
      Following the introduction of image manipulation tools such as Adobe Photoshop in the early 2000s, the public trust in image authenticity dropped and the need for the development and deployment of image authentication ...
    • Benchmarking Binarisation Schemes for Deep Face Templates 

      Drozdowski, Pawel; Struck, Florian; Rathgeb, Christian; Busch, Christoph (Chapter, 2018)
      Feature vectors extracted from biometric characteristics are often represented using floating point values. It is, however, more appealing to store and compare feature vectors in a binary representation, since it generally ...
    • Bias Mitigation in Face Recognition Systems using Synthetic Data 

      Kopperud, Pernille (Master thesis, 2023)
      De fleste moderne ansiktsgjenkjenningssystemer i dag er basert på dype læringsteknikker som krever en stor mengde merket treningsdata for å fungere tilfredsstillende. Med innføringen av personvernlover og forskrifter som ...
    • Collecting fingerprints for recognition using mobile phone cameras 

      Yang, Bian; Li, Xue; Busch, Christoph (Journal article; Peer reviewed, 2012)
      We present in this paper a sample quality control approach for the case using a mobile phone’s camera as a fingerprint sensor for fingerprint recognition. Our approach directly estimates the maximum ridge frequency ...
    • Compact and Mobile Full-Field Optical Coherence Tomography Sensor for Subsurface Fingerprint Imaging 

      Auksorius, Egidijus; Raja, Kiran; Topcu, Berkay; Ramachandra, Raghavendra; Busch, Christoph; Boccara, Claude A (Peer reviewed; Journal article, 2020)
      Conventional fingerprint sensors that are deployed in real-life applications lack the ability to peer inside a finger beyond the external surface. Subsurface information can provide complimentary biometric characteristics ...
    • Computational Workload in Biometric Identification Systems: An Overview 

      Drozdowski, Pawel; Rathgeb, Christian; Busch, Christoph (Journal article; Peer reviewed, 2019)
      Computational workload is one of the key challenges in biometric identification systems. The na{\"i}ve retrieval method based on an exhaustive search becomes impractical with the growth of the number of the enrolled data ...
    • Cross-lingual Speaker Verification: Evaluation On X-Vector Method 

      Mandalapu, Hareesh; Møller Elbo, Thomas; Ramachandra, Raghavendra; Busch, Christoph (Chapter, 2021)
      Automatic Speaker Verification (ASV) systems accuracy is based on the spoken language used in training and enrolling speakers. Language dependency makes voice-based security systems less robust and generalizable to a wide ...
    • Cross-sensor periocular biometrics in a global pandemic: Comparative benchmark and novel multialgorithmic approach 

      Alonso-Fernandez, Fernando; Raja, Kiran; Ramachandra, Raghavendra; Busch, Christoph; Bigun, Josef; Vera-Rodriguez, Ruben; Fierrez, Julian (Peer reviewed; Journal article, 2022)
      The massive availability of cameras and personal devices results in a wide variability between imaging conditions, producing large intra-class variations and a significant performance drop if images from heterogeneous ...
    • Database Binning and Retrieval in Multi-Fingerprint Identification Systems 

      Drozdowski, Pawel; Fischer, Daniel; Rathgeb, Christian; Schiel, Christopher; Busch, Christoph (Chapter, 2018)
      The increasingly large scale of deployed biometric systems necessitates approaches for computational workload reduction in order to perform identification queries efficiently. Simple database binning based on classification ...
    • Deep Face Age Progression: A Survey 

      Grimmer, Marcel; Ramachandra, Raghavendra; Busch, Christoph (Peer reviewed; Journal article, 2021)
    • Deep Learning for Fingerprint Recognition Systems 

      Schuch, Patrick (Doctoral theses at NTNU;2019:242, Doctoral thesis, 2019)
      Summary Biometric recognition is a typical means to identify individuals or to verify claimed identities. Use cases are manifold. For example, users can unlock their smartphones for convenience by presenting their faces ...
    • Deep Learning Techniques for Face Image Quality Estimation 

      Thorsen, Tommy (Master thesis, 2018)
      Biometric authentication using fingerprints or face recognition is becoming mainstream, and there is a need to make these methods as secure and reliable as possible. One way to achieve better performance with a biometric ...
    • Design and Development of Low-Cost Sensor to Capture Ventral and Dorsal Finger Vein for Biometric Authentication 

      Ramachandra, Raghavendra; Bylappa Raja, Kiran; Venkatesh, Sushma; Busch, Christoph (Peer reviewed; Journal article, 2019)
      Biometrics-based authentication of subjects is widely deployed in several real-life applications. Among various biometric characteristics, the finger-vein characteristic has demonstrated both reliable and highly accurate ...
    • Detection of Glasses in Near-Infrared Ocular Images 

      Drozdowski, Pawel; Struck, Florian; Rathgeb, Christian; Busch, Christoph (Chapter, 2018)
      Eyeglasses change the appearance and visual perception of facial images. Moreover, under objective metrics, glasses generally deteriorate the sample quality of near-infrared ocular images and as a consequence can worsen ...
    • Differential Privacy Preservation in Robust Continual Learning 

      Hassanpour, Ahmad; Moradikia, Majid; Yang, Bian; Abdelhadi, Ahmed; Busch, Christoph; Fierrez, Julian (Peer reviewed; Journal article, 2022)
      Enhancing the privacy of machine learning (ML) algorithms has become crucial with the presence of different types of attacks on AI applications. Continual learning (CL) is a branch of ML with the aim of learning a set of ...
    • E2F-GAN: Eyes-to-Face Inpainting via Edge-Aware Coarse-to-Fine GANs 

      Hassanpour, Ahmad; Daryani, Amir Etefaghi; Mirmahdi, Mahdieh; Raja, Kiran; Yang, Bian; Busch, Christoph; Fierrez, Julian (Peer reviewed; Journal article, 2022)
      Face inpainting is a challenging task aiming to fill the damaged or masked regions in face images with plausibly synthesized contents. Based on the given information, the reconstructed regions should look realistic and ...
    • Facilitating free travel in the Schengen area—A position paper by the European Association for Biometrics 

      Busch, Christoph; Deravi, Farzin; Frings, Dinusha; Kindt, Els; Lessmann, Ralph; Nouak, Alexander; Salomon, Jean; Achcar, Mateus; Alonso-Fernandez, Fernando; Bachenheimer, Daniel; Bethell, David; Bigun, Josef; Brawley, Matthew; Brockmann, Guido; Cabello, Enrique; Campisi, Patrizio; Cepilovs, Aleksandrs; Clee, Miles; Cohen, Mickey; Croll, Christian; Czyżewski, Andrzej; Dorizzi, Bernadette; Drahansky, Martin; Drozdowski, Pawel; Fankhauser, Catherine; Fierrez, Julian; Gomez-Barrero, Marta; Hasse, Georg; Guest, Richard; Komleva, Ekaterina; Marcel, Sebastien; Marcialis, Gian Luca; Mercier, Laurent; Mordini, Emilio; Mouille, Stefance; Navratilova, Pavlina; Ortega-Garcia, Javier; Petrovska, Dijana; Poh, Norman; Racz, Istvan; Ramachandra, Raghavendra; Rathgeb, Christian; Remillet, Christophe; Seidel, Uwe; Spreeuwers, Luuk; Strand, Brage; Toivonen, Sirra; Uhl, Andreas (Peer reviewed; Journal article, 2023)
      Due to migration, terror-threats and the viral pandemic, various EU member states have re-established internal border control or even closed their borders. European Association for Biometrics (EAB), a non-profit organisation, ...
    • FiPrAD - A Guideline for Fingerprint Presentation Attack Database Creation 

      Madhun, Ahmed S. M. (Bachelor thesis, 2018)
      Abstract: Nowadays, biometric recognition systems are widely implemented in many personal devices like smartphones and laptops, as it provides higher security while identifying the real owners of these devices. Fingerprint ...
    • A Generalizable Deepfake Detector based on Neural Conditional Distribution Modelling 

      Khodabakhsh, Ali; Busch, Christoph (Chapter, 2020)
      Photo- and video-realistic generation techniques have become a reality following the advent of deep neural networks. Consequently, there are immense concerns regarding the difficulty in differentiating what content is real ...