• 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 ...
    • 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 ...
    • Detecting Sexual Predatory Chats by Perturbed Data and Balanced Ensembles 

      Borj, Parisa Rezaee; Raja, Kiran; Bours, Patrick (Chapter, 2021)
      Securing the safety of the children on online platforms is critical to avoid the mishaps of them being abused for sexual favors, which usually happens through predatory conversations. A number of approaches have been ...
    • 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 ...
    • Improved ear verification after surgery - An approach based on collaborative representation of locally competitive features 

      Ramachandra, Raghavendra; Raja, Kiran; Venkatesh, Sushma Krupa; Busch, Christoph (Journal article; Peer reviewed, 2018)
      Ear characteristic is a promising biometric modality that has demonstrated good biometric performance. In this paper, we investigate a novel and challenging problem to verify a subject (or user) based on the ear characteristics ...
    • MIPGAN—Generating Strong and High Quality Morphing Attacks Using Identity Prior Driven GAN 

      Zhang, Haoyu; Venkatesh, Sushma; Ramachandra, Raghavendra; Raja, Kiran; Damer, Naser; Busch, Christoph (Journal article; Peer reviewed, 2021)
      Face morphing attacks target to circumvent Face Recognition Systems (FRS) by employing face images derived from multiple data subjects (e.g., accomplices and malicious actors). Morphed images can be verified against ...
    • Morphing Attack Detection-Database, Evaluation Platform, and Benchmarking 

      Raja, Kiran; Ferrara, Matteo; Franco, Annalisa; Spreeuwers, Luuk; Batskos, Ilias; Wit, Florens de; Gomez-Barrero, Marta; Scherhag, Ulrich; Fischer, Daniel; Venkatesh, Sushma; Singh, Jag Mohan; Li, Guoqiang; Bergeron, Loïc; Isadskiy, Sergey; Ramachandra, Raghavendra; Rathgeb, Christian; Frings, Dinusha; Seidel, Uwe; Knopjes, Fons; Veldhuis, Raymond N.J.; Maltoni, Davide; Busch, Christoph (Peer reviewed; Journal article, 2021)
      Morphing attacks have posed a severe threat to Face Recognition System (FRS). Despite the number of advancements reported in recent works, we note serious open issues such as independent benchmarking, generalizability ...
    • On the Relation Between ROC and CMC 

      Veldhuis, Raymond Nicolaas Johan; Raja, Kiran (Journal article; Peer reviewed, 2023)
      We formulate a compact relation between the probabilistic Receiver Operating Characteristic (ROC) and the probabilistic Cumulative Match Characteristic (CMC) that predicts every entry of the probabilistic CMC as a functional ...
    • Online Grooming Detection on Social Media Platforms 

      Borj, Parisa Rezaee (Doctoral theses at NTNU;2023:111, Doctoral thesis, 2023)
      Online grooming detection has become a critical research topic in the era of extensive data analysis. It is essential to protect vulnerable users, particularly adolescents, against sexual predation on online platforms and ...
    • Online grooming detection: A comprehensive survey of child exploitation in chat logs 

      Rezaee Borj, Parisa; Raja, Kiran; Bours, Patrick Adrianus (Peer reviewed; Journal article, 2022)
      Social media platforms present significant threats against underage users targeted for predatory intents. Many early research works have applied the footprints left by online predators to investigate online grooming. While ...
    • Pixel-wise supervision for presentation attack detection on identity document cards 

      Mudgalgundurao, Raghavendra; Schuch, Patrick; Raja, Kiran; Ramachandra, Raghavendra; Damer, Naser (Peer reviewed; Journal article, 2022)
      Identity documents (or IDs) play an important role in verifying the identity of a person with wide applications in banks, travel, video-identification services and border controls. Replay or photocopied ID cards can be ...
    • A response to the European Data Protection Supervisor ‘Misunderstandings in Biometrics’ by the European Association for Biometrics 

      Busch, Christoph; Czajka, Adam; Deravi, Farzin; Drozdowski, Pawel; Gomez‐Barrero, Marta; Hasse, Georg; Henniger, Olaf; Kindt, Els; Kolberg, Jascha; Nouak, Alexander; Raja, Kiran; Ramachandra, Raghavendra; Rathgeb, Christian; Salomon, Jean; Veldhuis, Raymond Nicolaas Johan (Peer reviewed; Journal article, 2021)
      The intention of this position paper is to comment on the joint European Data Protection Supervisor (EDPS)-Agencia Española de Protección de Datos (aepd) publication ‘14 Misunderstandings with regard to Biometric Identification ...
    • Robust Algorithms For Face Morphing Attack Detection: Database, Vulnerability and Detection 

      Venkatesh, Sushma Krupa (Doctoral theses at NTNU;2022:299, Doctoral thesis, 2022)
      Biometrics has emerged as a promising technology for automated recognition of individuals. The stored biometric characteristics are used to recognise an individual and hence biometrics technology plays a major role in ...
    • Smartphone Presentation Attack Detection using TrueDepth 

      Azim, Hamza; Wudarczyk, Milosz Antoni; Øhman-Norén, Kristian Amundsen (Bachelor thesis, 2022)
      Automatisk angrepsgjenkjenning ved ansikts-autentisering (PAD) er en viktig del av å kunne beskytte ansiktsgjenkjennings-systemer fra alvorlige potensielle sik- kerhetsbrudd. I dag eksisterer et flerfoldig antall stabile, ...
    • Towards better and unlinkable protected biometric templates using label-assisted discrete hashing 

      Raja, Kiran; Mudgalgundurao, Raghavendra; Busch, Christoph (Peer reviewed; Journal article, 2022)
      The growth of biometrics-based authentication in various services raises the need to protect biometric data at the storage level. Specifically, biometric templates need to be protected after features are extracted to avoid ...
    • Towards generalized morphing attack detection by learning residuals 

      Raja, Kiran; Gupta, Gourav; Venkatesh, Sushma; Ramachandra, Raghavendra; Busch, Christoph (Peer reviewed; Journal article, 2022)
      Face recognition systems (FRS) are vulnerable to different kinds of attacks. Morphing attack combines multiple face images to obtain a single face image that can verify equally against all contributing subjects. Various ...
    • Unsupervised Denoising for Super-Resolution (UDSR) of Real-World Images 

      Prajapati, Kalpesh; Chudasama, Vishal; Patel, Heena; Sarvaiya, Anjali; Upla, Kishor; Raja, Kiran; Ramachandra, Raghavendra; Busch, Christoph (Peer reviewed; Journal article, 2022)
      Single Image Super-Resolution (SISR) using Convolutional Neural Networks (CNNs) for many applications in supervised manner has resulted in significant improvement in state-of-the-art performance. Such supervised models ...