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Face Anti-Spoofing using Speeded-Up Robust Features and Fisher Vector Encoding

Zinelabidine Boulkenafet, Jukka Komulainen, Abdenour Hadid
2016 IEEE Signal Processing Letters  
In this paper, we propose a novel solution based on describing the facial appearance by applying Fisher Vector encoding on Speeded-Up Robust Features (SURF) extracted from from different color spaces.  ...  The evaluation of our countermeasure on three challenging benchmark face spoofing databases, namely the CASIA Face Anti-Spoofing Database, the Replay-Attack Database and MSU Mobile Face Spoof Database,  ...  In this present work, we propose a novel face representation for a well-generalizing anti-spoofing method using Speeded-Up Robust Features (SURF) and Fisher Vector encoding [19] .  ... 
doi:10.1109/lsp.2016.2630740 fatcat:htgqq3iv4zbiphezcx4rufnody

On the Generalisation Capabilities of Fisher Vector based Face Presentation Attack Detection [article]

Lázaro J. González-Soler, Marta Gomez-Barrero, Christoph Busch
2021 arXiv   pre-print
In this work, we use a new feature space based on Fisher Vectors, computed from compact Binarised Statistical Image Features histograms, which allow discovering semantic feature subsets from known samples  ...  (PAI) and acquisition conditions, in contrast to more challenging scenarios where unknown attacks are included in the test set.  ...  Acknowledgements This research work has been funded by the DFG-ANR RESPECT Project (406880674), and the German Federal Ministry of Education and Research and the Hessian Ministry of Higher Education, Research  ... 
arXiv:2103.01721v1 fatcat:onuh65vl5fhq3ntkx3xh47tu2a

Biometrics Recognition Using Deep Learning: A Survey [article]

Shervin Minaee, Amirali Abdolrashidi, Hang Su, Mohammed Bennamoun, David Zhang
2021 arXiv   pre-print
For each biometric, we first introduce the available datasets that are widely used in the literature and their characteristics.  ...  In this work, we provide a comprehensive survey of more than 120 promising works on biometric recognition (including face, fingerprint, iris, palmprint, ear, voice, signature, and gait recognition), which  ...  Rama Chellappa, and Dr. Nalini Ratha for reviewing this work, and providing very helpful comments and suggestions.  ... 
arXiv:1912.00271v3 fatcat:nobon7vrrrdnxe4pr3q2anl63y

Boosting Face Presentation Attack Detection in Multi-Spectral Videos Through Score Fusion of Wavelet Partition Images

Akshay Agarwal, Richa Singh, Mayank Vatsa, Afzel Noore
2022 Frontiers in Big Data  
faces.  ...  As face recognition algorithms and applications increase from constrained to unconstrained environments and in multispectral scenarios, presentation attack detection algorithms must also increase their  ...  Haralick features obtained from each subband and original face are concatenated and input to a linear Support Vector Machine (SVM) classifier for classification, 10.  ... 
doi:10.3389/fdata.2022.836749 pmid:35937552 pmcid:PMC9352957 fatcat:rwnxxqsjk5culkaudafpf5bk6a

Unseen Face Presentation Attack Detection Using Class-Specific Sparse One-Class Multiple Kernel Fusion Regression [article]

Shervin Rahimzadeh Arashloo
2019 arXiv   pre-print
in an unseen attack detection scenario while achieving very competitive performance to multi-class methods (benefiting from presentation attack data for training) despite using only bona fide samples  ...  For this purpose, a pure one-class face presentation attack detection approach based on kernel regression is developed which only utilises bona fide (genuine) samples for training.  ...  The thus obtained feature vectors are normalised to have a unit L 2 -norm.  ... 
arXiv:1912.13276v1 fatcat:npm24cuizredtlohwu77q5vk3i

Deep Audio-Visual Learning: A Survey [article]

Hao Zhu, Mandi Luo, Rui Wang, Aihua Zheng, Ran He
2020 arXiv   pre-print
Finally, we summarize the commonly used datasets and performance metrics.  ...  Audio-visual learning, aimed at exploiting the relationship between audio and visual modalities, has drawn considerable attention since deep learning started to be used successfully.  ...  To speed up the training and avoid overfitting, the researchers also used a curriculum learning strategy. To analyze an "in-the-wild" dataset, Cui et al.  ... 
arXiv:2001.04758v1 fatcat:p6ph5cujl5do3pzlpvcce35nvi

Deep Audio-visual Learning: A Survey

Hao Zhu, Man-Di Luo, Rui Wang, Ai-Hua Zheng, Ran He
2021 International Journal of Automation and Computing  
Finally, we summarize the commonly used datasets and challenges.  ...  AbstractAudio-visual learning, aimed at exploiting the relationship between audio and visual modalities, has drawn considerable attention since deep learning started to be used successfully.  ...  To speed up the training and avoid overfitting, the researchers also used a curriculum learning strategy. To analyze an in-the-wild dataset, Nussbaum-Thom et al.  ... 
doi:10.1007/s11633-021-1293-0 fatcat:an5lfyf4m5fh7mlngmdcbx7joy

A comprehensive survey of fingerprint presentation attack detection

Konstantinos Karampidis, Minas Rousouliotis, Euangelos Linardos, Ergina Kavallieratou
2021 Journal of Surveillance, Security and Safety  
Biometric traits have gained significant interest in this area in recent years due to their uniqueness, ease of use and development, user convenience and security.  ...  Both hardware-and software-based state-of-the-art methods are thoroughly presented and analyzed for identifying real fingerprints from artificial ones to help researchers to design securer biometric systems  ...  transform; SURF: speeded-up robust feature.  ... 
doi:10.20517/jsss.2021.07 fatcat:arkgqtjmhfgqzgmwiuo4pc3squ

2020 Index IEEE Transactions on Instrumentation and Measurement Vol. 69

2020 IEEE Transactions on Instrumentation and Measurement  
Converter Using All-Digital Nested Delay-Locked Loops With 50-ps Resolution and High Throughput for LiDAR TIM Nov. 2020 9262-9271 Helsen, J., see Huchel, L., TIM July 2020 4145-4153 Hemavathi, N.,  ...  Meenalochani, M., and Sudha, S., Influence of Received Signal Strength on Prediction of Cluster Head and Number of Rounds; TIM June 2020 3739-3749 Hendeby, G., see Kasebzadeh, P., TIM Aug. 2020 5862  ...  Sohaib, M., +, TIM June 2020 3334-3347 FVRAS-Net: An Embedded Finger-Vein Recognition and AntiSpoofing System Using a Unified CNN.  ... 
doi:10.1109/tim.2020.3042348 fatcat:a5f4fsqs45fbbetre6zwsg3dly

A Survey in Presentation Attack and Presentation Attack Detection

Anas Husseis, Judith Liu-Jimenez, Ines Goicoechea-Telleria, Raul Sanchez-Reillo
2019 2019 International Carnahan Conference on Security Technology (ICCST)  
On the national scale, police authorities and border control measures use biometric recognition devices for individual identification and verification purposes.  ...  On the other hand, different organizations, companies, and institutions use biometric-based solutions for access control.  ...  like speed and pressure.  ... 
doi:10.1109/ccst.2019.8888436 fatcat:kgyzt6xi6fed5muqhoowyaw2fi

A Comprehensive Survey on ECG signals as New Biometric Modality for Human Authentication: Recent Advances and Future Challenges

Anthony Ngozichukwuka Uwaechia, Dzati Athiar Ramli
2021 IEEE Access  
It uses a linear encoder and a linear decoder, preceded by a sparsifying nonlinearity, that turns a code vector into a quasi-binary sparse code vector, and (2) an autoencoder-based greedy layer-wise unsupervised  ...  Results indicate (area under the ROC curve) up to 0.985 for sequential multimodal system, and up to 0.956 for parallel multimodal system, compared to the unimodal systems that achieved AUC up to 0.951,  ... 
doi:10.1109/access.2021.3095248 fatcat:6bdgelhmanb27ii25e25wkewey

Towards Multi-modal Sclera and Iris Biometric Recognition with Adaptive Liveness Detection

Abhijit Das, University, My, Michael Blumenstein
2018
Therefore, due to the aforementioned research problems, this thesis addresses advancements in multimodal ocular biometrics using iris and sclera and also investigates the trade-off between robustness/adaptability  ...  To date, various biometric systems have been proposed in the literature, among them biometric traits such as the face, iris, fingerprints, retina, gait, and vocal patterns are found to be distinctive to  ...  [8, 14] SURF (Speeded Up Robust Features), minutiae-based extraction, followed by direct correlation matching (by pixel to pixel matching) and finally, for fusing the features of the different poses  ... 
doi:10.25904/1912/2705 fatcat:qb7kk42di5frjnoyfmvt3vxdsu