49 citations · 66 across the 9 of their papers we have counts for
9 papers
Similarity-based Gray-box Adversarial Attack Against Deep Face Recognition
Hanrui Wang, Shuo Wang, Zhe Jin +3
The majority of adversarial attack techniques perform well against deep face recognition when the full knowledge of the system is revealed (\emph{white-box}). However, such techniq…
Interpretable security analysis of cancellable biometrics using constrained-optimized similarity-based attack
Hanrui Wang, Xingbo Dong, Zhe Jin +2
In cancellable biometrics (CB) schemes, template security is achieved by applying, mainly non-linear, transformations to the biometric template. The transformation is designed to p…
On the Risk of Cancelable Biometrics
Xingbo Dong, Jaewoo Park, Zhe Jin +3
Cancelable biometrics (CB) employs an irreversible transformation to convert the biometric features into transformed templates while preserving the relative distance between two te…
Face Identification using Local Ternary Tree Pattern based Spatial Structural Components
Rinku Datta Rakshit, Dakshina Ranjan Kisku, Massimo Tistarelli +1
This paper reports a face identification system which makes use of a novel local descriptor called Local Ternary Tree Pattern (LTTP). Exploiting and extracting distinctive local de…
A Linear-complexity Multi-biometric Forensic Document Analysis System, by Fusing the Stylome and Signature Modalities
Sayyed-Ali Hossayni, Yousef Alizadeh-Q, Vahid Tavana +7
Forensic Document Analysis (FDA) addresses the problem of finding the authorship of a given document. Identification of the document writer via a number of its modalities (e.g. han…
Maximized Posteriori Attributes Selection from Facial Salient Landmarks for Face Recognition
Phalguni Gupta, Dakshina Ranjan Kisku, Jamuna Kanta Sing +1
This paper presents a robust and dynamic face recognition technique based on the extraction and matching of devised probabilistic graphs drawn on SIFT features related to independe…
Feature Level Fusion of Face and Fingerprint Biometrics
Ajita Rattani, Dakshina Ranjan Kisku, Manuele Bicego +1
The aim of this paper is to study the fusion at feature extraction level for face and fingerprint biometrics. The proposed approach is based on the fusion of the two traits by extr…
Face Identification by SIFT-based Complete Graph Topology
Dakshina Ranjan Kisku, Ajita Rattani, Enrico Grosso +1
This paper presents a new face identification system based on Graph Matching Technique on SIFT features extracted from face images. Although SIFT features have been successfully us…
Face Recognition by Fusion of Local and Global Matching Scores using DS Theory: An Evaluation with Uni-classifier and Multi-classifier Paradigm
Dakshina Ranjan Kisku, Massimo Tistarelli, Jamuna Kanta Sing +1
Faces are highly deformable objects which may easily change their appearance over time. Not all face areas are subject to the same variability. Therefore decoupling the information…