Iris Recognition Method Based on Parallel Iris Localization Algorithm and Deep Learning Iris Verification. [PDF]
Sensors (Basel), 2022 Biometric recognition technology has been widely used in various fields of society. Iris recognition technology, as a stable and convenient biometric recognition technology, has been widely used in security applications.
Wei Y, Zhang X, Zeng A, Huang H.
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Cross-spectral iris recognition using phase-based matching and homomorphic filtering. [PDF]
Heliyon, 2020 In cross-spectral iris recognition, different spectral bands are used to obtain rich information of the human iris. Previous studies on cross-spectral iris recognition are based primarily on feature-based approaches, which are prone to the changes in ...
Oktiana M +6 more
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Uncertainty Theories Based Iris Recognition System [PDF]
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2018 The performance and robustness of the iris-based recognition systems still suffer from imperfection in the biometric information. This paper makes an attempt to address these imperfections and deals with important problem for real system.
BELLAAJ Majd
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Presentation Attack Detection for Iris Recognition System Using NIR Camera Sensor. [PDF]
Sensors (Basel), 2018 Among biometric recognition systems such as fingerprint, finger-vein, or face, the iris recognition system has proven to be effective for achieving a high recognition accuracy and security level.
Nguyen DT, Baek NR, Pham TD, Park KR.
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Blind Quality Assessment of Iris Images Acquired in Visible Light for Biometric Recognition [PDF]
Sensors, 2020 Image quality is a key issue affecting the performance of biometric systems. Ensuring the quality of iris images acquired in unconstrained imaging conditions in visible light poses many challenges to iris recognition systems.
Mohsen Jenadeleh +2 more
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CBAM-DenseNet with multi-feature quality filtering: advancing accuracy in small-sample iris recognition. [PDF]
Front Artif IntellIn the context of the information age, traditional password and key-based authentication mechanisms are no longer sufficient to meet the growing demands for information security. Iris recognition technology has garnered attention due to its high security
Pang Y, Wang Z, Jiang N, Qin J, Li S.
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Iris Recognition After Death [PDF]
IEEE Transactions on Information Forensics and Security, 2018 This paper presents a comprehensive study of post-mortem human iris recognition carried out for 1,200 near-infrared and 1,787 visible-light samples collected from 37 deceased individuals kept in the mortuary conditions. We used four independent iris recognition methods (three commercial and one academic) to analyze genuine and impostor comparison ...
Mateusz Trokielewicz +2 more
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Deep Learning-Based Enhanced Presentation Attack Detection for Iris Recognition by Combining Features from Local and Global Regions Based on NIR Camera Sensor. [PDF]
Sensors (Basel), 2018 Iris recognition systems have been used in high-security-level applications because of their high recognition rate and the distinctiveness of iris patterns.
Nguyen DT, Pham TD, Lee YW, Park KR.
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Iris Recognition: The Consequences of Image Compression [PDF]
EURASIP Journal on Advances in Signal Processing, 2010 Iris recognition for human identification is one of the most accurate biometrics, and its employment is expanding globally. The use of portable iris systems, particularly in law enforcement applications, is growing.
Bishop DanielA +3 more
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Novel approaches to improve iris recognition system performance based on local quality evaluation and feature fusion. [PDF]
ScientificWorldJournal, 2014 For building a new iris template, this paper proposes a strategy to fuse different portions of iris based on machine learning method to evaluate local quality of iris. There are three novelties compared to previous work. Firstly, the normalized segmented
Chen Y +5 more
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