Cancelable biometrics: A review
Recent years have seen an exponential growth in the use of various biometric technologies
for trusted automatic recognition of humans. With the rapid adaptation of biometric systems …
for trusted automatic recognition of humans. With the rapid adaptation of biometric systems …
Cancelable biometrics: a comprehensive survey
Biometric recognition is a challenging research field but suffers from privacy and security
concerns. To address this concern, Cancelable Biometrics is suggested in literature in which …
concerns. To address this concern, Cancelable Biometrics is suggested in literature in which …
Iris recognition with off-the-shelf CNN features: A deep learning perspective
Iris recognition refers to the automated process of recognizing individuals based on their iris
patterns. The seemingly stochastic nature of the iris stroma makes it a distinctive cue for …
patterns. The seemingly stochastic nature of the iris stroma makes it a distinctive cue for …
A survey on biometric authentication: Toward secure and privacy-preserving identification
Z Rui, Z Yan - IEEE access, 2018 - ieeexplore.ieee.org
In order to overcome the difficulty of password management and improve the usability of
authentication systems, biometric authentication has been widely studied and has attracted …
authentication systems, biometric authentication has been widely studied and has attracted …
Performance comparison of intrusion detection systems and application of machine learning to Snort system
SAR Shah, B Issac - Future Generation Computer Systems, 2018 - Elsevier
This study investigates the performance of two open source intrusion detection systems
(IDSs) namely Snort and Suricata for accurately detecting the malicious traffic on computer …
(IDSs) namely Snort and Suricata for accurately detecting the malicious traffic on computer …
DeepIrisNet: Deep iris representation with applications in iris recognition and cross-sensor iris recognition
Despite significant advances in iris recognition (IR), the efficient and robust IR at scale and
in non-ideal conditions presents serious performance issues and is still ongoing research …
in non-ideal conditions presents serious performance issues and is still ongoing research …
Towards contactless palmprint recognition: A novel device, a new benchmark, and a collaborative representation based identification approach
Biometric authentication has been found to be an effective method for recognizing a
person's identity with a high confidence. In this field, the use of palmprint represents a recent …
person's identity with a high confidence. In this field, the use of palmprint represents a recent …
Encrypted signal processing for privacy protection: Conveying the utility of homomorphic encryption and multiparty computation
In recent years, signal processing applications that deal with user-related data have aroused
privacy concerns. For instance, face recognition and personalized recommendations rely on …
privacy concerns. For instance, face recognition and personalized recommendations rely on …
Towards more accurate iris recognition using deeply learned spatially corresponding features
Z Zhao, A Kumar - … of the IEEE international conference on …, 2017 - openaccess.thecvf.com
This paper proposes an accurate and generalizable deep learning framework for iris
recognition. The proposed framework is based on a fully convolutional network (FCN), which …
recognition. The proposed framework is based on a fully convolutional network (FCN), which …
Ranking-based locality sensitive hashing-enabled cancelable biometrics: Index-of-max hashing
In this paper, we propose a ranking-based locality sensitive hashing inspired two-factor
cancelable biometrics, dubbed “Index-of-Max”(IoM) hashing for biometric template …
cancelable biometrics, dubbed “Index-of-Max”(IoM) hashing for biometric template …