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Ocular biometrics: A survey of modalities and fusion approaches
2015
Information Fusion
Preserved Fulltext
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
2013
2013 2nd IAPR Asian Conference on Pattern Recognition
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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]
2019
Advances in Computer Vision and Pattern Recognition
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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]
2022
arXiv
pre-print
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2020 pre-print arXiv:1902.08123v4 fatcat:wsw5ma6ed5hwxanwo3j2fe2kp4Other Versions
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
2019
Applied Sciences
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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]
2018
arXiv
pre-print
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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]
2021
arXiv
pre-print
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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
2018
International Journal of Engineering & Technology
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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
2013
2013 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM)
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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]
2019
arXiv
pre-print
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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]
2019
arXiv
pre-print
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Other Versions
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
2020
IET Biometrics
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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
2019
Sensors
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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
2017
2017 IEEE International Joint Conference on Biometrics (IJCB)
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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
2018
2018 31st SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)
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2018 pre-print arXiv:1808.10032v1 fatcat:qu2zhteeora5tootknbdsag63m
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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