Blar i NTNU Open på forfatter "Ramachandra, Raghavendra"

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    • Morphing Attacks and Detection using Spectral Images 

      Aryal, Himali (Master thesis, 2022)
      Face recognition systems assume that a person's face serves as the unique link to identify them. A morph attack happens when two people with similar facial features morph their faces together, resulting in a face image ...

    • Multilevel Fusion of Multispectral Images to Detect the Artificially Ripened Banana 

      Vetrekar, Narayan; Ramachandra, Raghavendra; Gad, R.S. (Journal article, 2023)

    • Multilingual Audio-Visual Smartphone Dataset and Evaluation 

      Mandalapu, Hareesh; Reddy, P. N. Aravinda; Ramachandra, Raghavendra; Rao, Krothapalli Sreenivasa; Mitra, Pabitra; Prasanna, S. R. Mahadeva; Busch, Christoph (Peer reviewed; Journal article, 2021)
      Smartphones have been employed with biometric-based verification systems to provide security in highly sensitive applications. Audio-visual biometrics are getting popular due to their usability, and also it will be challenging ...

    • Multilingual Voice Impersonation Dataset and Evaluation 

      Mandalapu, Hareesh; Busch, Christoph; Ramachandra, Raghavendra (Chapter, 2021)
      Well-known vulnerabilities of voice-based biometrics are impersonation, replay attacks, artificial signals/speech synthesis, and voice conversion. Among these, voice impersonation is the obvious and simplest way of attack ...

    • Multimodality for Reliable Single Image Based Face Morphing Attack Detection 

      Ramachandra, Raghavendra; Li, Guoqiang (Peer reviewed; Journal article, 2022)
      Face morphing attacks have demonstrated a high vulnerability on human observers and commercial off-the-shelf Face Recognition Systems (FRS), especially in the border control scenario. Therefore, detecting face morphing ...

    • On the Applicability of Synthetic Data for Face Recognition 

      Zhang, Haoyu; Grimmer, Marcel; Ramachandra, Raghavendra; Bylappa Raja, Kiran; Busch, Christoph (Chapter, 2021)
      Face verification has come into increasing focus in various applications including the European Entry/Exit System, which integrates face recognition mechanisms. At the same time, the rapid advancement of biometric ...

    • 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 Audio-Visual Biometric Authentication 

      Mandalapu, Hareesh (Doctoral theses at NTNU;2021:394, Doctoral thesis, 2021)
      Biometric authentication has been a vital method of human identification across a wide range of applications. It is a quick and secure authorization process in applications such as border control and banking transactions. ...

    • Robust Biometric Verification Based On The Eye Region - Algorithms for Visible Spectrum Image Data 

      Bylappa Raja, Kiran (Doctoral theses at NTNU;312, Doctoral thesis, 2016)
      Popular mobile banking and e-commerce applications like Google Wallet, Apple Pay and Alipay have resulted in using personal devices like smartphones for secure access of services via biometric data captured from embedded ...

    • Subjective Evaluation of Media Consumer Vulnerability to Fake Audiovisual Content 

      Khodabakhsh, Ali; Ramachandra, Raghavendra; Busch, Christoph (Chapter, 2019)
      Facilitation of fake face generation in recent years, thanks to advancements in computer graphics and artificial intelligence, raises concerns about malicious use of these techniques for personal or political gains. Media ...

    • Towards Blockchain-based GDPR compliant Online Social Networks: Challenges, Opportunities and Way Forward 

      Ahmed, Javeed; Yildirim Yayilgan, Sule; Ramachandra, Raghavendra; Abomhara, Mohamed Ali Saleh; Nowostawski, Mariusz (Peer reviewed; Journal article, 2019)
      Online Social Networks (OSNs) are very popular and widely adopted by the vast majority of Internet users across the globe. Recent scandals on the abuse of users’ personal information via these platforms have raised serious ...

    • 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 ...