Browsing NTNU Open by Author "Ramachandra, Raghavendra"

Now showing items 1-20 of 34

    • Adversarial Attacks against Face Recognition: A Comprehensive Study 

      Vakhshiteh, Fatemeh; Nickabadi, Ahmad; Ramachandra, Raghavendra (Peer reviewed; Journal article, 2021)
      Face recognition (FR) systems have demonstrated reliable verification performance, suggesting suitability for real-world applications ranging from photo tagging in social media to automated border control (ABC). In an ...

    • 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 ...

    • 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-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 ...

    • Deep Composite Face Image Attacks: Generation, Vulnerability and Detection 

      Singh, Jag Mohan; Ramachandra, Raghavendra (Peer reviewed; Journal article, 2023)
      Face manipulation attacks have drawn the attention of biometric researchers because of their vulnerability to Face Recognition Systems (FRS). This paper proposes a novel scheme to generate Composite Face Image Attacks ...

    • Deep Face Age Progression: A Survey 

      Grimmer, Marcel; Ramachandra, Raghavendra; Busch, Christoph (Peer reviewed; Journal article, 2021)

    • 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 ...

    • Explainable Visualization for Morphing Attack Detection 

      Myhrvold, Henning; Zhang, Haoyu; Tapia, Juan; Ramachandra, Raghavendra; Busch, Christoph Günther (Peer reviewed; Journal article, 2022)
      Detecting morphed face images has become critical for maintaining trust in automated facial biometric verification systems. It is well demonstrated that better biometric performance of the Face Recognition System (FRS) ...

    • Facial authentication service with a privacy-preserving focus 

      Leirvaag, Aksel Skaar; Ramberg, Simen; Seiner, William Eide (Bachelor thesis, 2022)
      Mobai ønsket å utnytte sine biometriske tjenester til å bygge en OpenID Connect-leverandør med vedvarende lagring av biometriske data som både er sikkert og overholder prinsipper for personvern. Gjennom hele prosjektet ble ...

    • 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, ...

    • Fingerphoto Verification Using Siamese Neural Network 

      Madhun, Ahmed Said Mahmoud (Master thesis, 2020)
      De siste årene har vi hatt en enorm utvikling av portable enheter. Sensorene i smart-telefoner og bærbare datamaskiner har kommet til det stadiet at de åpner for nye former for biometrisk autentisering. En av disse formene ...

    • Hessian-based Robust Ray-Tracing of Implicit Surfaces on GPU 

      Singh, Jag Mohan; Wasnik, Pankaj Shivdayal; Ramachandra, Raghavendra (Chapter, 2018)
      In recent years, the Ray Tracing of Implicit Surfaces on a GPU has been studied by many researchers. However, the existing methods have challenges that mainly includes solving for self-intersecting surfaces. General solutions ...

    • 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 ...

    • In depth analysis of Long-Short-Term-Memory Neural Networks with the purpose of detecting cyberbullying 

      Buan, Thor Aleksander (Master thesis, 2019)
      Sosiale medier har blitt svært populære i den siste tiden. Blant alle fordelene som sosiale medier bragt med seg, er det også noen problemer. Ett av de største problemene som har kommet med den økte bruken av sosiale medier ...

    • Low Visual Distortion and Robust Morphing Attacks Based on Partial Face Image Manipulation 

      Qin, Le; Peng, Fei; Venkatesh, Sushma; Ramachandra, Raghavendra; Long, Min; Busch, Christoph (Journal article; Peer reviewed, 2021)

    • 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 ...

    • Morph-PIPE: Plugging in Identity Prior to Enhance Face Morphing Attack Based on Diffusion Model 

      Zhang, Haoyu; Ramachandra, Raghavendra; Bylappa Raja, Kiran; Busch, Christoph Günther (Journal article, 2023)

    • 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 ...