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Ocular biometrics: A survey of modalities and fusion approaches

Ishan Nigam, Mayank Vatsa, Richa Singh
2015 Information Fusion  
The paper discusses existing algorithms and the limitations of each of the biometric traits and information fusion approaches which combine ocular modalities with other modalities.  ...  Among existing modalities, ocular biometric traits such as iris, periocular, retina, and eye movement have received significant attention in the recent past.  ...  The authors would like to thank the Editorin-Chief, Associate Editor, and reviewers for their insightful feedback on the paper. The authors also acknowledge Dr. Maria De Marsico and Dr.  ... 
doi:10.1016/j.inffus.2015.03.005 fatcat:ph2katoyuzdylamlesnt7vzbay

Sclera Recognition - A Survey

Abhijit Das, Umapada Pal, Michael Blumenstein, Miguel Angel Ferrer Ballester
2013 2013 2nd IAPR Asian Conference on Pattern Recognition  
This paper presents a survey on sclera-based biometric recognition.  ...  Global and local information are extracted from the periocular region using texture and point operators resulting in a feature set that can be used for matching.  ...  So the combination of the sclera feature gives a new art to iris biometrics [25] .  ... 
doi:10.1109/acpr.2013.168 dblp:conf/acpr/DasPBF13 fatcat:t6ix4jysnbae3jmalpgchaj5sa

Deep Sclera Segmentation and Recognition [chapter]

Peter Rot, Matej Vitek, Klemen Grm, Žiga Emeršič, Peter Peer, Vitomir Štruc
2019 Advances in Computer Vision and Pattern Recognition  
available datasets suitable for research in multi-view sclera segmentation and recognition.  ...  (combining losses pertaining to identity and view-direction recognition) that allows for the extraction of discriminative vasculature descriptors that can be used for identity inference.  ...  The model incorporates design choices from the AlexNet [61] and VGG [59] models and relies on a Multi-Task Learning (MTL) objective that combines an identity and gaze-direction-related loss to learn  ... 
doi:10.1007/978-3-030-27731-4_13 fatcat:garfkbxt4jcqtasype4bhknnjm

Cross-Sensor Periocular Biometrics in a Global Pandemic: Comparative Benchmark and Novel Multialgorithmic Approach [article]

Fernando Alonso-Fernandez, Kiran B. Raja, R. Raghavendra, Cristoph Busch, Josef Bigun, Ruben Vera-Rodriguez, Julian Fierrez
2022 arXiv   pre-print
We evaluate our approach in the context of the Cross-Eyed Competition, whose aim was to compare recognition approaches when NIR and VIS periocular images are matched.  ...  This allows easy interpretation of scores and the use of Bayes thresholds for optimal decision-making since scores from different comparators are in the same probabilistic range.  ...  Among these, iris, sclera, retina and periocular have been studied as biometric modalities [2] .  ... 
arXiv:1902.08123v5 fatcat:7ez7dflxsnhivaul4ytng6zeje

Periocular Recognition in the Wild: Implementation of RGB-OCLBCP Dual-Stream CNN

Leslie Ching Ow Tiong, Yunli Lee, Andrew Beng Jin Teoh
2019 Applied Sciences  
A new database, namely an Ethnic-ocular database of periocular in the wild, is introduced and shared for benchmarking.  ...  Coded Pattern (OCLBCP) for periocular recognition in the wild.  ...  [24] suggested removal/separation of the iris and sclera from the periocular regions, while Zhao et al.  ... 
doi:10.3390/app9132709 fatcat:hscfr3dbmbat7kxzir7rcvceiu

A Survey on Periocular Biometrics Research [article]

Fernando Alonso-Fernandez, Josef Bigun
2018 arXiv   pre-print
A number of aspects are described, including: i) existing databases, ii) algorithms for periocular detection and/or segmentation, iii) features employed for recognition, iv) identification of the most  ...  discriminative regions of the periocular area, v) comparison with iris and face modalities, vi) soft-biometrics (gender/ethnicity classification), and vii) impact of gender transformation and plastic surgery  ...  -F. thanks the Swedish Research Council and the EU for for funding his research. Authors acknowledge the CAISR program of the Swedish Knowledge Foundation and the EU COST Action IC1106.  ... 
arXiv:1810.03360v1 fatcat:hyopg2dgivhhpdebgcreuvw7zq

Attribute-Based Deep Periocular Recognition: Leveraging Soft Biometrics to Improve Periocular Recognition [article]

Veeru Talreja and Nasser M. Nasrabadi and Matthew C. Valenti
2021 arXiv   pre-print
Next, the features from these two branches are fused together for a final periocular recognition.  ...  recognition algorithm to determine identity from periocular images with high accuracy.  ...  We have used Multi-task Cascaded Convolutional Networks (MTCNN) [37] to crop out left and right periocular images. We have used the FRGC dataset for both open-world and closed-world settings.  ... 
arXiv:2111.01325v1 fatcat:yxz33axaezag3otstaxlfykavy

Multimodal Authentication of Ocular Biometric and Finger Vein Verification in Smartphones: A Review

Dheeraj Hebri, Vasudeva .
2018 International Journal of Engineering & Technology  
Finger vein and ocular-based multimodal biometric authentication system are one of the major techniques which have been considered for efficient identification and verification purpose.  ...  This system mainly works in some common stages which include, scanning of finger vein and ocular, pre-processing, feature extraction and matching of finger vein and ocular in a database as well.  ...  The preprocessing is performed to extract vein pattern using multi-scale matched filtering. Then, the verification of user identity is obtained based on image registration based matching.  ... 
doi:10.14419/ijet.v7i3.12.15909 fatcat:d2l6qttibvgvzjadwj4bx7cfui

Periocular biometrics: An emerging technology for unconstrained scenarios

Gil Santos, Hugo Proenca
2013 2013 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM)  
The periocular region has recently emerged as a promising trait for unconstrained biometric recognition, specially on cases where neither the iris and a full facial picture can be obtained.  ...  For contextualization, a brief overview of the biometric field is also given.  ...  ACKNOWLEDGMENT The financial support given by "FCT -Fundação para a Ciência e Tecnologia"and "FEDER"in the scope of the PTDC/EIA/103945/2008 research project "NECOVID: Negative Covert Biometric Recognition"is  ... 
doi:10.1109/cibim.2013.6607908 dblp:conf/cibim/SantosP13 fatcat:c66baf3ncndazbxihvdp366anm

Segmentation-Aware and Adaptive Iris Recognition [article]

Kuo Wang, Ajay Kumar
2019 arXiv   pre-print
Periocular information can be dynamically reinforced, by incorporating the differences in the effective area of available iris regions, for more accurate iris recognition.  ...  Iris recognition has emerged as one of the most accurate and convenient biometric for the human identification and has been increasingly employed in a wide range of e-security applications.  ...  In their work, periocular images are augmented with inconsistent iris and sclera regions for training a deep CNN, so that the network implicitly degrades the iris and sclera features during learning.  ... 
arXiv:2001.00989v1 fatcat:5oducj4revccxesxmza7o5favu

Ocular Recognition Databases and Competitions: A Survey [article]

Luiz A. Zanlorensi, Rayson Laroca, Eduardo Luz, Alceu S. Britto Jr., Luiz S. Oliveira, David Menotti
2019 arXiv   pre-print
The use of the iris and periocular region as biometric traits has been extensively investigated, mainly due to the singularity of the iris features and the use of the periocular region when the image resolution  ...  and periocular region information.  ...  With features from the periocular region, an EER of 2.74% was reported. The outputs of both modalities (iris and periocular) were normalized with z-score and combined with weighted scores.  ... 
arXiv:1911.09646v1 fatcat:xdd5iwamfjfxrdtydp5zazd3g4

PROTECT: Pervasive and useR fOcused biomeTrics bordEr projeCT – a case study

Chiara Galdi, Jonathan Boyle, Lulu Chen, Valeria Chiesa, Luca Debiasi, Jean-Luc Dugelay, James Ferryman, Artur Grudzień, Christof Kauba, Simon Kirchgasser, Marcin Kowalski, Michael Linortner (+7 others)
2020 IET Biometrics  
The system has been developed to be suitable for different borders such as air, sea, and land borders.  ...  The main aim of PROTECT was to build an advanced biometric-based person identification system that works robustly across a range of border crossing types and that has strong user-centric features.  ...  Acknowledgments This research was funded by the EU H2020 Research and Innovation Programme under grant agreement no. 700259 (PROTECT).  ... 
doi:10.1049/iet-bmt.2020.0033 fatcat:ulilg2vjszahvpcnmtvrant6ya

ChimericalDataset Creation Protocol Based on Doddington Zoo: A Biometric Application with Face, Eye, and ECG

Pedro Lopes Silva, Eduardo Luz, Gladston Moreira, Lauro Moraes, David Menotti
2019 Sensors  
We conduct the experiments in the open-world verification mode and on two different scenarios (intra-session and inter-session), using three modalities from two datasets: CYBHi (ECG) and FRGC (eye and  ...  Moreover, we have proposed a multimodal approach for these modalities based on state-of-the-art deep representations built by convolutional neural networks.  ...  The authors forced a CNN to disregard information from the iris and sclera, which improved the results for periocular biometrics in visible light.  ... 
doi:10.3390/s19132968 fatcat:hxs3rw3lurabbfeiarvua35x6e

Cross-eyed 2017: Cross-spectral iris/periocular recognition competition

Ana F. Sequeira, Lulu Chen, James Ferryman, Peter Wild, Fernando Alonso-Fernandez, Josef Bigun, Kiran B. Raja, R. Raghavendra, Christoph Busch, Tiago de Freitas Pereira, Sebastien Marcel, Sushree Sangeeta Behera (+2 others)
2017 2017 IEEE International Joint Conference on Biometrics (IJCB)  
This second edition registered an increase in the participation numbers ranging from academia to industry: five teams submitted twelve methods for the periocular task and five for the iris task.  ...  The main goal of the competition is to promote and evaluate advances in cross-spectrum iris and periocular recognition.  ...  Seventh Framework Programme (FP7) under grant agreement 284989 (BEAT) and the Swiss Center for Biometrics Research and Testing.  ... 
doi:10.1109/btas.2017.8272762 dblp:conf/icb/SequeiraCFWABRR17 fatcat:vwarfgo4ufea3iihw2gisjzrnu

The Impact of Preprocessing on Deep Representations for Iris Recognition on Unconstrained Environments

Luiz A. Zanlorensi, Eduardo Luz, Rayson Laroca, Alceu S. Britto, Luiz S. Oliveira, David Menotti
2018 2018 31st SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)  
We use transfer learning from the face domain and also propose a specific data augmentation technique for iris images.  ...  In this context, we propose the use of deep representations, more specifically, architectures based on VGG and ResNet-50 networks, for dealing with the images using (and not) iris segmentation and normalization  ...  ACKNOWLEDGMENT The authors thank the Conselho Nacional de Pesquisa e Desenvolvimento (CNPq) (# 428333/2016-8 and # 313423/2017-2) for the financial support and also gratefully acknowledge the support of  ... 
doi:10.1109/sibgrapi.2018.00044 dblp:conf/sibgrapi/ZanlorensiLLBOM18 fatcat:tr7yb3elhnfvjoosszgbu54omy
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