K
Kiran B. Raja
Researcher at Norwegian University of Science and Technology
Publications - 208
Citations - 3621
Kiran B. Raja is an academic researcher from Norwegian University of Science and Technology. The author has contributed to research in topics: Facial recognition system & Biometrics. The author has an hindex of 24, co-authored 180 publications receiving 2288 citations. Previous affiliations of Kiran B. Raja include Sewanee: The University of the South & Gjøvik University College.
Papers
More filters
Journal ArticleDOI
Presentation Attack Detection for Face Recognition Using Light Field Camera
TL;DR: This paper presents a novel approach that involves exploring the variation of the focus between multiple depth images rendered by the LFC that in turn can be used to reveal the presentation attacks.
Proceedings ArticleDOI
Transferable Deep-CNN Features for Detecting Digital and Print-Scanned Morphed Face Images
TL;DR: This work proposes a novel approach leveraging the transferable features from a pre-trained Deep Convolutional Neural Networks (D-CNN) to detect both digital and print-scanned morphed face image.
Journal ArticleDOI
Smartphone based visible iris recognition using deep sparse filtering
TL;DR: A new segmentation scheme is proposed and adapted to smartphone based visible iris images for approximating the radius of the iris to achieve robust segmentation and a new feature extraction method based on deepsparsefiltering is proposed to obtain robust features for unconstrained iris image images.
Proceedings ArticleDOI
Detecting morphed face images
TL;DR: This work proposes a novel scheme to detect morphed face images based on facial micro-textures extracted using statistically independent filters that are trained on natural images.
Proceedings ArticleDOI
On the vulnerability of face recognition systems towards morphed face attacks
Ulrich Scherhag,Ramachandra Raghavendra,Kiran B. Raja,Marta Gomez-Barrero,Christian Rathgeb,Christoph Busch +5 more
TL;DR: The vulnerability of biometric systems to morphed face attacks is investigated by evaluating the techniques proposed to detect morphed face images and two new databases are created to study the vulnerability of state-of-the-art face recognition systems with a comprehensive evaluation.