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Biometric privacy protection: What is this thing called privacy? IET Biom. (IF 2.0) Pub Date : 2023-07-26 Emilio Mordini
We are at the wake of an epochal revolution, the Information Revolution. The Information Revolution has been accompanied by the rise of a new commodity, digital data, which is changing the world including methods for human recognition. Biometric systems are the recognition technology of the new age. So, privacy scholars tend to frame biometric privacy protection chiefly in terms of biometric data protection
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On improving interoperability for cross-domain multi-finger fingerprint matching using coupled adversarial learning IET Biom. (IF 2.0) Pub Date : 2023-07-24 Md Mahedi Hasan, Nasser Nasrabadi, Jeremy Dawson
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Deep features fusion for user authentication based on human activity IET Biom. (IF 2.0) Pub Date : 2023-07-26 Yris Brice Wandji Piugie, Christophe Charrier, Joël Di Manno, Christophe Rosenberger
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Heartbeat information prediction based on transformer model using millimetre-wave radar IET Biom. (IF 2.0) Pub Date : 2023-07-23 Bojun Hu, Biao Jin, Hao Xue, Zhenkai Zhang, Zhaoyang Xu, Xiaohua Zhu
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APPSO-NN: An adaptive-probability particle swarm optimization neural network for sensorineural hearing loss detection IET Biom. (IF 2.0) Pub Date : 2023-06-15 Jingyuan Yang, Yu-Dong Zhang
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Turning waste into wealth: Person identification by emotion-disturbed electrocardiogram IET Biom. (IF 2.0) Pub Date : 2023-05-27 Wei Li, Cheng Fang, Zhihao Zhu, Chuyi Chen, Aiguo Song
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An image-based facial acupoint detection approach using high-resolution network and attention fusion IET Biom. (IF 2.0) Pub Date : 2023-05-16 Tingting Zhang, Hongyu Yang, Wenyi Ge, Yi Lin
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Brainprint based on functional connectivity and asymmetry indices of brain regions: A case study of biometric person identification with non-expensive electroencephalogram headsets IET Biom. (IF 2.0) Pub Date : 2023-04-17 Jordan Ortega-Rodríguez, Kevin Martín-Chinea, José Francisco Gómez-González, Ernesto Pereda
Brain-computer interface applications for biometric person identification have increased their interest in recent years since they are potentially more secure and more difficult to counterfeit than traditional biometric techniques. However, it is necessary to consider how brain waves are acquired for this purpose, not only in terms of efficiency but also of practical comfort for the user and the affordability
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Facilitating free travel in the Schengen area—A position paper by the European Association for Biometrics IET Biom. (IF 2.0) Pub Date : 2023-04-14 Christoph Busch, Farzin Deravi, Dinusha Frings, Els Kindt, Ralph Lessmann, Alexander Nouak, Jean Salomon, Mateus Achcar, Fernando Alonso-Fernandez, Daniel Bachenheimer, David Bethell, Josef Bigun, Matthew Brawley, Guido Brockmann, Enrique Cabello, Patrizio Campisi, Aleksandrs Cepilovs, Miles Clee, Mickey Cohen, Christian Croll, Andrzej Czyżewski, Bernadette Dorizzi, Martin Drahansky, Pawel Drozdowski
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Detection of non-suicidal self-injury based on spatiotemporal features of indoor activities IET Biom. (IF 2.0) Pub Date : 2023-04-13 Guanci Yang, Siyuan Yang, Kexin Luo, Shangen Lan, Ling He, Yang Li
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Efficient ear alignment using a two-stack hourglass network IET Biom. (IF 2.0) Pub Date : 2023-03-13 Anja Hrovatič, Peter Peer, Vitomir Štruc, Žiga Emeršič
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Adversarial liveness detector: Leveraging adversarial perturbations in fingerprint liveness detection IET Biom. (IF 2.0) Pub Date : 2023-03-10 Antonio Galli, Michela Gravina, Stefano Marrone, Domenico Mattiello, Carlo Sansone
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Optimal feature-algorithm combination research for EEG fatigue driving detection based on functional brain network IET Biom. (IF 2.0) Pub Date : 2023-02-20 Yi Zhou, ChangQing Zeng, ZhenDong Mu
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Activity-based electrocardiogram biometric verification using wearable devices IET Biom. (IF 2.0) Pub Date : 2022-12-16 Hazal Su Bıçakcı, Marco Santopietro, Richard Guest
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Robust graph fusion and recognition framework for fingerprint and finger-vein IET Biom. (IF 2.0) Pub Date : 2022-07-12 Zhitao Wu, Hongxu Qu, Haigang Zhang, Jinfeng Yang
The human finger is the essential carrier of biometric features. The finger itself contains multi-modal traits, including fingerprint and finger-vein, which provides convenience and practicality for finger bi-modal fusion recognition. The scale inconsistency and feature space mismatch of finger bi-modal images are important reasons for the fusion effect. The feature extraction method based on graph
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An empirical analysis of keystroke dynamics in passwords: A longitudinal study IET Biom. (IF 2.0) Pub Date : 2022-06-27 Simon Parkinson, Saad Khan, Alexandru-Mihai Badea, Andrew Crampton, Na Liu, Qing Xu
The use of keystroke timings as a behavioural biometric in fixed-text authentication mechanisms has been extensively studied. Previous research has investigated in isolation the effect of password length, character substitution, and participant repetition. These studies have used publicly available datasets, containing a small number of passwords with timings acquired from different experiments. Multiple
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Forearm multimodal recognition based on IAHP-entropy weight combination IET Biom. (IF 2.0) Pub Date : 2022-05-27 Chaoying Tang, Mengen Qian, Ru Jia, Haodong Liu, Biao Wang
Biometrics are the among most popular authentication methods due to their advantages over traditional methods, such as higher security, better accuracy and more convenience. The recent COVID-19 pandemic has led to the wide use of face masks, which greatly affects the traditional face recognition technology. The pandemic has also increased the focus on hygienic and contactless identity verification
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Lip print-based identification using traditional and deep learning IET Biom. (IF 2.0) Pub Date : 2022-05-05 Wardah Farrukh, Dustin van der Haar
The concept of biometric identification is centred around the theory that every individual is unique and has distinct characteristics. Various metrics such as fingerprint, face, iris, or retina are adopted for this purpose. Nonetheless, new alternatives are needed to establish the identity of individuals on occasions where the above techniques are unavailable. One emerging method of human recognition
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Time–frequency fusion learning for photoplethysmography biometric recognition IET Biom. (IF 2.0) Pub Date : 2022-04-12 Chunying Liu,Jijiang Yu,Yuwen Huang,Fuxian Huang
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Using double attention for text tattoo localisation IET Biom. (IF 2.0) Pub Date : 2022-04-08 Xingpeng Xu,Shitala Prasad,Kuanhong Cheng,Adams Wai Kin Kong
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Reliable detection of doppelgängers based on deep face representations IET Biom. (IF 2.0) Pub Date : 2022-04-04 Christian Rathgeb,Daniel Fischer,Pawel Drozdowski,Christoph Busch
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Profile to frontal face recognition in the wild using coupled conditional generative adversarial network IET Biom. (IF 2.0) Pub Date : 2022-03-10 Fariborz Taherkhani,Veeru Talreja,Jeremy Dawson,Matthew C. Valenti,Nasser M. Nasrabadi
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Recognition of the finger vascular system using multi‐wavelength imaging IET Biom. (IF 2.0) Pub Date : 2022-03-05 Tomasz Moroń,Krzysztof Bernacki,Jerzy Fiołka,Jia Peng,Adam Popowicz
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Corresponding keypoint constrained sparse representation three‐dimensional ear recognition via one sample per person IET Biom. (IF 2.0) Pub Date : 2022-03-02 Qinping Zhu,Zhichun Mu,Li Yuan
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Proposing a Fuzzy Soft‐max‐based classifier in a hybrid deep learning architecture for human activity recognition IET Biom. (IF 2.0) Pub Date : 2022-02-06 Reza Shakerian,Meisam Yadollahzadeh‐Tabari,Seyed Yaser Bozorgi Rad
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Deep learning model based on cascaded autoencoders and one‐class learning for detection and localization of anomalies from surveillance videos IET Biom. (IF 2.0) Pub Date : 2022-01-18 Karishma Pawar,Vahida Attar
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Signal‐level fusion for indexing and retrieval of facial biometric data IET Biom. (IF 2.0) Pub Date : 2022-01-13 Pawel Drozdowski,Fabian Stockhardt,Christian Rathgeb,Christoph Busch
The growing scope, scale, and number of biometric deployments around the world emphasise the need for research into technologies facilitating efficient and reliable biometric identification queries. This work presents a method of indexing biometric databases, which relies on signal-level fusion of facial images (morphing) to create a multi-stage data-structure and retrieval protocol. By successively
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Framework for user behavioural biometric identification using a multimodal scheme with keystroke trajectory feature and recurrent neural network on a mobile platform IET Biom. (IF 2.0) Pub Date : 2022-01-11 Ka‐Wing Tse,Kevin Hung
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Spoofing detection on adaptive authentication System‐A survey IET Biom. (IF 2.0) Pub Date : 2021-12-30 Hind Baaqeel,Sunday Olatunji
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Biometrics and the metaphysics of personal identity IET Biom. (IF 2.0) Pub Date : 2021-12-07 Amy Kind
The vast advances in biometrics over the past several decades have brought with them a host of pressing concerns. Philosophical scrutiny has already been devoted to many of the relevant ethical and political issues, especially ones arising from matters of privacy, bias, and security in data collection. But philosophers have devoted surprisingly little attention to the relevant metaphysical issues,
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Gradient boosting regression for faster Partitioned Iterated Function Systems‐based head pose estimation IET Biom. (IF 2.0) Pub Date : 2021-12-02 Paola Barra,Riccardo Distasi,Chiara Pero,Stefano Ricciardi,Maurizio Tucci
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HandSegNet: Hand segmentation using convolutional neural network for contactless palmprint recognition IET Biom. (IF 2.0) Pub Date : 2021-11-20 Koichi Ito,Yusei Suzuki,Hiroya Kawai,Takafumi Aoki,Masakazu Fujio,Yosuke Kaga,Kenta Takahashi
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A biometric‐based verification system for handwritten image‐based signatures using audio to image matching IET Biom. (IF 2.0) Pub Date : 2021-11-16 Abdulaziz Almehmadi
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A response to the European Data Protection Supervisor ‘Misunderstandings in Biometrics’ by the European Association for Biometrics IET Biom. (IF 2.0) Pub Date : 2021-11-11 Christoph Busch,Adam Czajka,Farzin Deravi,Pawel Drozdowski,Marta Gomez‐Barrero,Georg Hasse,Olaf Henniger,Els Kindt,Jascha Kolberg,Alexander Nouak,Kiran Raja,Raghavendra Ramachandra,Christian Rathgeb,Jean Salomon,Raymond Veldhuis
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Securable networked scheme with face authentication IET Biom. (IF 2.0) Pub Date : 2021-09-09 Da‐You Huang,Chun‐Liang Lin,Yang‐Yi Chen
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Guest Editorial: BIOSIG 2020 special issue on trustworthiness of person authentication IET Biom. (IF 2.0) Pub Date : 2021-09-01 Ana F. Sequeira,Marta Gomez‐Barrero,Paulo Lobato Correia
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EEG personal recognition based on ‘qualified majority’ over signal patches IET Biom. (IF 2.0) Pub Date : 2021-08-19 Andrea Panzino,Giulia Orrù,Gian Luca Marcialis,Fabio Roli
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Unknown presentation attack detection against rational attackers IET Biom. (IF 2.0) Pub Date : 2021-08-06 Ali Khodabakhsh,Zahid Akhtar
Despite the impressive progress in the field of presentation attack detection and multimedia forensics over the last decade, these systems are still vulnerable to attacks in real-life settings. Some of the challenges for existing solutions are the detection of unknown attacks, the ability to perform in adversarial settings, few-shot learning, and explainability. In this study, these limitations are
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Failure of affine‐based reconstruction attack in regenerating vascular feature points IET Biom. (IF 2.0) Pub Date : 2021-07-28 Mahshid Sadeghpour,Arathi Arakala,Stephen A. Davis,Kathy J. Horadam
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CNN‐based off‐angle iris segmentation and recognition IET Biom. (IF 2.0) Pub Date : 2021-07-13 Ehsaneddin Jalilian,Mahmut Karakaya,Andreas Uhl
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Guest Editorial: WACV 2020—Presentation attacks on biometric systems IET Biom. (IF 2.0) Pub Date : 2021-06-30 Raghavendra Ramachandra,Naser Damer,Kiran Raja,Ajita Rattani
Despite recent developments in improving the performance of biometric systems for various applications, the systems are still vulnerable to different kind of attacks. Some such attacks are presentation attacks (PAs), where an adversary presents a fabricated artefact or an altered trait to biometric sensors. The intent is often to obfuscate one's own identity, create a synthetic identity, or spoof another
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Face presentation attack detection. A comprehensive evaluation of the generalisation problem IET Biom. (IF 2.0) Pub Date : 2021-06-28 Artur Costa‐Pazo,Daniel Pérez‐Cabo,David Jiménez‐Cabello,José Luis Alba‐Castro,Esteban Vazquez‐Fernandez
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Preventing face morphing attacks by using legacy face images IET Biom. (IF 2.0) Pub Date : 2021-06-22 Ilias Batskos,Florens F. Wit,Luuk J. Spreeuwers,Raymond J. Veldhuis
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An exploratory study of interpretability for face presentation attack detection IET Biom. (IF 2.0) Pub Date : 2021-06-12 Ana F. Sequeira,Tiago Gonçalves,Wilson Silva,João Ribeiro Pinto,Jaime S. Cardoso
Fundação para a Ciência e a Tecnologia within project UIDB/50014/2020 and the PhD grants, Grant/Award Number: SFRH/BD/137720/2018; SFRH/BD/139468/2018; and 2020.06434.BD Abstract Biometric recognition and presentation attack detection (PAD) methods strongly rely on deep learning algorithms. Though often more accurate, these models operate as complex black boxes. Interpretability tools are now being
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Facial masks and soft‐biometrics: Leveraging face recognition CNNs for age and gender prediction on mobile ocular images IET Biom. (IF 2.0) Pub Date : 2021-06-11 Fernando Alonso‐Fernandez,Kevin Hernandez‐Diaz,Silvia Ramis,Francisco J. Perales,Josef Bigun
We address the use of selfie ocular images captured with smartphones to estimate age and gender. Partial face occlusion has become an issue due to the mandatory use of face masks. Also, the use of mobile devices has exploded, with the pandemic further accelerating the migration to digital services. However, state‐of‐the‐art solutions in related tasks such as identity or expression recognition employ
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Towards better and unlinkable protected biometric templates using label‐assisted discrete hashing IET Biom. (IF 2.0) Pub Date : 2021-06-10 Kiran Raja,R. Raghavendra,Christoph Busch
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Extended evaluation of the effect of real and simulated masks on face recognition performance. IET Biom. (IF 2.0) Pub Date : 2021-05-28 Naser Damer,Fadi Boutros,Marius Süßmilch,Florian Kirchbuchner,Arjan Kuijper
Face recognition is an essential technology in our daily lives as a contactless and convenient method of accurate identity verification. Processes such as secure login to electronic devices or identity verification at automatic border control gates are increasingly dependent on such technologies. The recent COVID-19 pandemic has increased the focus on hygienic and contactless identity verification
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SviaB: Secure and verifiable multi‐instance iris remote authentication using blockchain IET Biom. (IF 2.0) Pub Date : 2021-05-12 Mahesh Kumar Morampudi,Munaga V. N. K. Prasad,Surya Narayana Raju Undi
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Multi‐branch network with hierarchical bilinear pooling for person reidentification IET Biom. (IF 2.0) Pub Date : 2021-05-07 Wenyu Wei,Wenzhong Yang,Enguang Zuo,Qiuru Ren,Qiuchang Chen
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On the generalisation capabilities of Fisher vector‐based face presentation attack detection IET Biom. (IF 2.0) Pub Date : 2021-05-02 Lázaro J. González‐Soler,Marta Gomez‐Barrero,Christoph Busch
In the last decades, the broad development experienced by biometric systems has unveiled several threats which may decrease their trustworthiness. Those are attack presentations which can be easily carried out by a non-authorised subject to gain access to the biometric system. In order to mitigate those security concerns, most face Presentation Attack Detection techniques have reported a good detection
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Writer identification and writer retrieval based on NetVLAD with Re‐ranking IET Biom. (IF 2.0) Pub Date : 2021-04-26 Shervin Rasoulzadeh,Bagher BabaAli
This paper addresses writer identification and retrieval which is a challenging problem in the document analysis field. In this work, a novel pipeline is proposed for the problem by employing a unified neural network architecture consisting of the ResNet-20 as a feature extractor and an integrated NetVLAD layer, inspired by the vectors of locally aggregated descriptors (VLAD), in the head of the latter
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Personal identification based on acoustic characteristics of outer ear using cepstral analysis, Bayesian classifier, and artificial neural networks IET Biom. (IF 2.0) Pub Date : 2021-04-26 Alexey Sulavko,Alexander Samotuga,Irina Kuprik
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Orthogonal tucker decomposition using factor priors for 2D+3D facial expression recognition IET Biom. (IF 2.0) Pub Date : 2021-04-26 Yunfang Fu,Qiuqi Ruan,Ziyan Luo,Gaoyun An,Yi Jin
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Data augmentation with occluded facial features for age and gender estimation IET Biom. (IF 2.0) Pub Date : 2021-04-26 Lu En Lin,Chang Hong Lin
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Occlusion‐invariant face recognition using simultaneous segmentation IET Biom. (IF 2.0) Pub Date : 2021-04-21 Dan Zeng,Raymond Veldhuis,Luuk Spreeuwers,Richard Arendsen
When using CNN models to extract features of an occluded face, the occluded part will inevitably be embedded into the representation in latent space, just as other facial regions. Existing methods deal with occluded face recognition either by augmenting the training dataset with synthesized occluded faces or by detecting/segmenting occlusions first and subsequently recognize the face based on unoccluded
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Unimodal‐Bio‐GAN: Keyless biometric salting scheme based on generative adversarial network IET Biom. (IF 2.0) Pub Date : 2021-04-21 Mayada Tarek,Eslam Hamouda,Sara El‐Metwally
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Subject independent evaluation of eyebrows as a stand‐alone biometric IET Biom. (IF 2.0) Pub Date : 2021-04-21 Hoang (Mark) Nguyen,Ajita Rattani,Reza Derakhshani
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Real‐time recognition of human motions using multidimensional features in ultrawideband biological radar IET Biom. (IF 2.0) Pub Date : 2021-04-16 Jinxiao Zhong,Liangnian Jin,Qiang Mao
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Impact of facial tattoos and paintings on face recognition systems IET Biom. (IF 2.0) Pub Date : 2021-04-16 Mathias Ibsen,Christian Rathgeb,Thomas Fink,Pawel Drozdowski,Christoph Busch
In the past years, face recognition technologies have shown impressive recognition performance, mainly due to recent developments in deep convolutional neural networks. Notwithstanding those improvements, several challenges which affect the performance of face recognition systems remain. In this work, we investigate the impact that facial tattoos and paintings have on current face recognition systems
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A Survey on Deepfake Video Detection IET Biom. (IF 2.0) Pub Date : 2021-04-09 Peipeng Yu,Zhihua Xia,Jianwei Fei,Yujiang Lu