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Performance of Humans in Iris Recognition: The Impact of Iris Condition and Annotation-driven Verification [article]

Daniel Moreira, Mateusz Trokielewicz, Adam Czajka, Kevin W. Bowyer, Patrick J. Flynn
2018 arXiv   pre-print
This paper advances the state of the art in human examination of iris images by (1) assessing the impact of different iris conditions in identity verification, and (2) introducing an annotation step that  ...  large difference in pupil dilation were the most challenging to subjects, but benefited well from the annotation-driven classification, (c) humans performed better than iris recognition algorithms when  ...  Left side: times spent in the annotation-less sessions. Right side: times spent in the annotation-driven sessions. Table 1 : 1 Literature of human performance in iris recognition.  ... 
arXiv:1807.05245v2 fatcat:5oe6lnwmobflhhaz7q2ryjgd6q

Interpretable Deep Learning-Based Forensic Iris Segmentation and Recognition [article]

Andrey Kuehlkamp, Aidan Boyd, Adam Czajka, Kevin Bowyer, Patrick Flynn, Dennis Chute, Eric Benjamin
2021 arXiv   pre-print
The proposed postmortem iris segmentation approach outperforms the state of the art and in addition to iris annulus, as in case of classical iris segmentation methods - detects abnormal regions caused  ...  In this paper, we present an end-to-end deep learning-based method for postmortem iris segmentation and recognition with a special visualization technique intended to support forensic human examiners in  ...  iris annulus and may impact the comparison score.  ... 
arXiv:2112.00849v2 fatcat:35uvyz2gzncwnbdnw6ch7uzriy

Unconstrained Biometric Recognition: Summary of Recent SOCIA Lab. Research [article]

Varsha Balakrishnan
2020 arXiv   pre-print
The development of biometric recognition solutions able to work in visual surveillance conditions, i.e., in unconstrained data acquisition conditions and under covert protocols has been motivating growing  ...  This report summarises the research works published by elements of the SOCIA Lab. in the last decade in the scope of biometric recognition in unconstrained conditions.  ...  perform reliable recognition of human beings.  ... 
arXiv:2001.09703v2 fatcat:hugkig4wxvgaldscwbobn6yhuy

Post-mortem Iris Recognition with Deep-Learning-based Image Segmentation [article]

Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz
2019 arXiv   pre-print
As a whole, this method allows for a significant improvement in post-mortem iris recognition accuracy over the methods designed only for ante-mortem irises, including the academic OSIRIS and commercial  ...  We show how to use segmentation masks predicted by neural networks in conventional, Gabor-based iris recognition method, which employs circular approximations of the pupillary and limbic iris boundaries  ...  Acknowledgment The Authors would like to kindly thank Ewelina Bartuzi for her help with generating the CMC curves for the rank list experiments.  ... 
arXiv:1901.01708v2 fatcat:rvrnvbfeg5d2rerctznkiyvjiq

Post-Mortem Iris Recognition – A Survey and Assessment of the State of the Art

Aidan Boyd, Shivangi Yadav, Thomas Swearingen, Andrey Kuehlkamp, Mateusz Trokielewicz, Eric Benjamin, Piotr Maciejewicz, Dennis Chute, Arun Ross, Patrick Flynn, Kevin Bowyer, Adam Czajka
2020 IEEE Access  
This paper surveys research to date on the problem of using iris images acquired after death for automated human recognition.  ...  Secondly, results are presented from the largest database of peri-mortem and post-mortem iris images, collected from 213 subjects by two independent institutions located in the U.S. and Poland.  ...  [4] tracked biometric capabilities of face, fingerprint and iris during human decomposition in outdoor conditions.  ... 
doi:10.1109/access.2020.3011364 fatcat:jblatywk5rgzfmzoa3gn45i6xi

Post-mortem Iris Decomposition and its Dynamics in Morgue Conditions [article]

Mateusz Trokielewicz and Adam Czajka and Piotr Maciejewicz
2019 arXiv   pre-print
processes that take place within the human eyeball, especially the iris.  ...  Therefore, we analyze post-mortem iris images acquired in both visible light as well as in near-infrared light (860 nm), as the latter wavelength is used in commercial iris recognition systems.  ...  [4] , who proposed an iris-specific, human-driven iris recognition method.  ... 
arXiv:1911.02837v1 fatcat:3r5k5x2rejhkvme34ckvwpgdm4

A comprehensive survey and deep learning-based approach for human recognition using ear biometric

Aman Kamboj, Rajneesh Rani, Aditya Nigam
2021 The Visual Computer  
Human recognition systems based on biometrics are much in demand due to increasing concerns of security and privacy. The human ear is unique and useful for recognition.  ...  The survey includes in-depth details of databases, performance evaluation parameters, and existing approaches.  ...  A human ear can be combined with biometrics such as the face, iris, and side face to improve security and performance.  ... 
doi:10.1007/s00371-021-02119-0 pmid:33907343 pmcid:PMC8061142 fatcat:hug67l6hfrapbnmrw3bu2lk7mu

Surveillance Face Recognition Challenge [article]

Zhiyi Cheng and Xiatian Zhu and Shaogang Gong
2018 arXiv   pre-print
Face recognition (FR) is one of the most extensively investigated problems in computer vision.  ...  We benchmark the FR performance on this challenge using five representative deep learning face recognition models, in comparison to existing benchmarks.  ...  Acknowledgements This work was partially supported by the Royal Society Newton Advanced Fellowship Programme (NA150459), Innovate UK Industrial Challenge Project on Developing and Commercialising Intelligent  ... 
arXiv:1804.09691v6 fatcat:c2xlmiv2yvbwngrg43enlnfbqu

A Short Survey on Machine Learning Explainability: An Application to Periocular Recognition

João Brito, Hugo Proença
2021 Electronics  
Therefore, in this document, we focus on presenting the core principles of interpretability and describing the main methods that deliver visual cues (including one that we designed for periocular recognition  ...  Interpretability has made significant strides in recent years, enabling the formerly black-box models to reach new levels of transparency.  ...  The funders had no role in the design of the study; in the collection, analysis, or interpretation of data; in the writing of the manuscript; nor in the decision to publish the results.  ... 
doi:10.3390/electronics10151861 fatcat:hqsboo6asfekxnrpaslergpjgm

Applied Imagery Pattern Recognition 2011

2011 2011 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)  
Abstract: In the past few years, a handful of scholars worldwide trained in computer vision, pattern recognition, image processing and art history have applied the techniques of computer vision and computer  ...  The Applied Imagery Pattern Recognition Workshop promotes and encourages the interdisciplinary interchange of ideas.  ...  and 3) completion and verification of complete road features and networks.  ... 
doi:10.1109/aipr.2011.6176381 fatcat:7bbefbxrnnfjvdtun4zixrckjy

Face Recognition and Retrieval in Video [chapter]

Caifeng Shan
2010 Studies in Computational Intelligence  
Automatic face recognition has long been established as one of the most active research areas in computer vision.  ...  In this chapter, we review existing research on face recognition and retrieval in video. The relevant techniques are comprehensively surveyed and discussed. D. Schonfeld et al.  ...  Biometrics refers to the measurement and analysis of physical or behavioral characteristics of humans; various visual traits, such as fingerprint, face, iris, gait and hand geometry, Caifeng Shan Philips  ... 
doi:10.1007/978-3-642-12900-1_9 fatcat:53dy35g7hzaaxocwoymcpad5s4

Masked Face Recognition Using Deep Learning: A Review

Ahmad Alzu'bi, Firas Albalas, Tawfik AL-Hadhrami, Lojin Bani Bani Younis, Amjad Bashayreh
2021 Electronics  
A large number of intelligent models for masked face recognition (MFR) has been recently presented and applied in various fields, such as masked face tracking for people safety or secure authentication  ...  The common benchmarking datasets and evaluation metrics used in the field of MFR are also discussed. Many challenges and promising research directions are highlighted.  ...  Acknowledgments: The authors would like to thank Jordan University of Science and Technology for supporting this research work under grant No. 20210166.  ... 
doi:10.3390/electronics10212666 fatcat:4j3p2it4prd7tk7spurenne2uq

An audio-visual corpus for multimodal automatic speech recognition

Andrzej Czyzewski, Bozena Kostek, Piotr Bratoszewski, Jozef Kotus, Marcin Szykulski
2017 Journal of Intelligent Information Systems  
Owing to the inclusion of recordings made in noisy conditions the elaborated corpus can also be used for testing robustness of speech recognition systems in the presence of acoustic background noise.  ...  Results achieved with the developed audio-visual automatic speech recognition (ASR) engine trained and tested with the material contained in the corpus are presented and discussed together with comparative  ...  , and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.  ... 
doi:10.1007/s10844-016-0438-z fatcat:5wgorizginbpzojjocskugyqxi

Biometric quality: a review of fingerprint, iris, and face

Samarth Bharadwaj, Mayank Vatsa, Richa Singh
2014 EURASIP Journal on Image and Video Processing  
A survey of the features, strengths, and limitations of existing quality assessment techniques in fingerprint, iris, and face biometric are also presented.  ...  from the state-of-the-art recognition systems.  ...  Acknowledgements This research is supported through a grant of Department of Electronics and Information Technology, Government of India.  ... 
doi:10.1186/1687-5281-2014-34 fatcat:vhat5jla5bb3vksbywco4heisy

The Previous Academic Papers and Publications and Turnitin Similarity Report, 63 pages. (Siming Zheng_ca)

Siming Zheng
Regarding this Supporting Document ( 63 pages ):This supporting document includes previous academic research papers with high-pixel image in form of PDF for your reference.  ...  It provided the Turnitin Similarity report for the second paper, which was under the peer-review after 2nd revision.  ...  I thank Fatimah Khalid for her help in the depth analysis and comments on the face recognition theory, as well as Prof. Dr. Nurul Amelina Nasharuddin for fruitful advices.  ... 
doi:10.6084/m9.figshare.13298981.v1 fatcat:fkw4ipxwozbtjjeqiqmaseiyuu
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