Showing 21 - 40 results of 118 for search 'Iris Print', query time: 4.92s Refine Results
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    Biometric-based palm print recognition and its applications by Loh, Eileen Yee Ling.

    Published 2011
    “…The thumb on the other hand is easier to replicate compared to the whole palm print thus palm print recognition has its own advantage compared to other biometric identification methods.…”
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    Final Year Project (FYP)
  3. 23

    Relief of symptomatic pseudo-polycoria due to iris biopsy using a daily contact lens by Suzanne W. Sherman, Julia Canestraro, Dmitry Bogomolny, Brian Marr

    Published 2021-06-01
    “…Purpose: To report a case of pseudo-polycoria from iris biopsy managed by a daily disposable prosthetic colored hydrogel lens. …”
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    Article
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    What can the structure of the palm print tell us? by Sont Rahardja.

    Published 2012
    “…This is because palm print can be used to easily distinguish different people and it will remain unchanged unlike other body parts like the iris. …”
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    Final Year Project (FYP)
  11. 31

    Lip print‐based identification using traditional and deep learning by Wardah Farrukh, Dustin van derHaar

    Published 2023-01-01
    “…The patterns found on the human lip are permanent unless subjected to alternations or trauma. Therefore, lip prints can serve the purpose of confirming an individual's identity. …”
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    Article
  12. 32

    A ConFlat iris diaphragm device for direct beam control and alignment inside a vacuum chamber by Yi C. Zhang, David Y. Lee

    Published 2019-07-01
    “…We describe an easy-to-assemble and robust design of a ConFlat (CF) iris diaphragm device installed in a vacuum environment with its aperture size directly adjustable by users outside the vacuum. …”
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    Article
  13. 33

    THE IDENTIFICATION OF EAR PRINTS USING COMPLEX GABOR FILTERS by Alexander A S Gunawan, Heni Kurniaty, Wikaria Gazali

    Published 2012-05-01
    “…Biometrics is a method used to recognize humans based on one or a few characteristics physical or behavioral traits that are unique such as DNA, face, fingerprints, gait, iris, palm, retina, signature and sound. Although the facts that ear prints are found in 15% of crime scenes, ear prints research has been very limited since the success of fingerprints modality. …”
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    Article
  14. 34

    Detection of Iris Presentation Attacks Using Hybridization of Discrete Cosine Transform and Haar Transform With Machine Learning Classifiers and Ensembles by Smita Khade, Shilpa Gite, Sudeep D. Thepade, Biswajeet Pradhan, Abdullah Alamri

    Published 2021-01-01
    “…Biometric systems become unstable and hazardous due to spoofing attacks involving contact lenses, replayed video, cadaver iris, synthetic Iris, and printed iris. This work demonstrates the iris presentation attacks detection (Iris- PAD) approach that uses fragmental coefficients of transform iris images as features obtained using Discrete Cosine Transform (DCT), Haar Transform, and hybrid Transform. …”
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    Article
  15. 35

    Clonal heterogeneity and efficacy of box and (gtg)5 fingerprinting methods for molecular typing of escherichia coli isolated from chickens in iri by KHEIRI R, AKHTARI L

    Published 2017-03-01
    “…Isolates were finger printed by BOX-A1 and (GTG)5 primers. Dendrograms were generated based on 80% similarity and Shannon-Weaver index was calculated. …”
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    Article
  16. 36

    Detection of Iris Presentation Attacks Using Feature Fusion of Thepade’s Sorted Block Truncation Coding with Gray-Level Co-Occurrence Matrix Features by Smita Khade, Shilpa Gite, Sudeep D. Thepade, Biswajeet Pradhan, Abdullah Alamri

    Published 2021-11-01
    “…Iris biometric detection provides contactless authentication, preventing the spread of COVID-19-like contagious diseases. …”
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    Article
  17. 37

    Combining 2D texture and 3D geometry features for Reliable iris presentation attack detection using light field focal stack by Zhengquan Luo, Yunlong Wang, Nianfeng Liu, Zilei Wang

    Published 2022-09-01
    “…In this paper, the merits of both light field (LF) imaging and deep learning (DL) are leveraged to combine 2D texture and 3D geometry features for iris liveness detection. By exploring off‐the‐shelf deep features of planar‐oriented and sequence‐oriented deep neural networks (DNNs) on the rendered focal stack, the proposed framework excavates the differences in 3D geometric structure and 2D spatial texture between bona fide and spoofing irises captured by LF cameras. …”
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    Article
  18. 38

    Iris Recognition Used for the Implementation of a Green-Passports System Regarding the Vaccination against the SARS-CoV-2 Virus for the UE Citizens by Cătălin Lupu, Corneliu-Octavian Turcu

    Published 2021-06-01
    “…In order to improve these checks, the appropriateness of using biometric iris recognition technology to replace that document will be explored. …”
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    Article
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    Application of 3-dimensional printing technology to construct an eye model for fundus viewing study. by Ping Xie, Zizhong Hu, Xiaojun Zhang, Xinhua Li, Zhishan Gao, Dongqing Yuan, Qinghuai Liu

    Published 2014-01-01
    “…With computer aided design (CAD) software, we designed the 3D digital model of the main structure of the physical model eye, which was used for three-dimensional (3D) printing. Together with the main printed structure, polymethyl methacrylate(PMMA) aspherical cornea, variable iris, and IOLs were assembled to a physical eye model. …”
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    Article