6 datasets found
  1. t

    J. Cui, Y. Wang, J. Huang, T. Tan, Z. Sun (2024). Dataset: Synthetic Iris...

    • service.tib.eu
    Updated Dec 16, 2024
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    (2024). J. Cui, Y. Wang, J. Huang, T. Tan, Z. Sun (2024). Dataset: Synthetic Iris Database. https://doi.org/10.57702/e86a81hh [Dataset]. https://service.tib.eu/ldmservice/dataset/synthetic-iris-database
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    Dataset updated
    Dec 16, 2024
    Description

    A dataset of iris images synthesized using PCA and super-resolution.

  2. t

    IIT Delhi Iris Database - Dataset - LDM

    • service.tib.eu
    Updated Dec 16, 2024
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    (2024). IIT Delhi Iris Database - Dataset - LDM [Dataset]. https://service.tib.eu/ldmservice/dataset/iit-delhi-iris-database
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    Dataset updated
    Dec 16, 2024
    Area covered
    Delhi
    Description

    Iris images collected from the students/staff at IIT Delhi

  3. f

    Biometric iris, database ILEA

    • figshare.com
    tiff
    Updated Jan 19, 2016
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    Daniel felipe Valencia vargas; Jose Fernando Valencia (2016). Biometric iris, database ILEA [Dataset]. http://doi.org/10.6084/m9.figshare.1451397.v1
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    tiffAvailable download formats
    Dataset updated
    Jan 19, 2016
    Dataset provided by
    figshare
    Authors
    Daniel felipe Valencia vargas; Jose Fernando Valencia
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Biometric iris, database ILEA format RAW

  4. d

    Social Inclusion & Community Activation Programme - Dataset - PSB Data...

    • datacatalogue.gov.ie
    Updated Apr 5, 2021
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    (2021). Social Inclusion & Community Activation Programme - Dataset - PSB Data Catalogue [Dataset]. https://datacatalogue.gov.ie/dataset/social-inclusion-and-community-activation-programme
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    Dataset updated
    Apr 5, 2021
    Description

    Social Inclusion & Community Activation Programme. Personal data on participants in SICAP. The IRIS Database is managed by Pobal on behalf of the Department. This is a scheme which aims to reduce disadvantage and poverty. It provides funding at a national level to promote social inclusion. The programme has two goals that focus on supporting communities and individuals: • To support communities and target groups to engage with relevant stakeholders in identifying and addressing social exclusion and equality issues, developing the capacity of local community groups and creating more sustainable communities of local community groups and creating more sustainable communities. • To support disadvantaged individuals to improve the quality of their lives through the provision of lifelong learning and labour market supports.

  5. f

    The 3 clusters and noise points on Iris database using DBSCAN-CPPI algorith....

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Yuzhen Zhao; Xiyu Liu; Xiufeng Li (2023). The 3 clusters and noise points on Iris database using DBSCAN-CPPI algorith. [Dataset]. http://doi.org/10.1371/journal.pone.0200751.t003
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Yuzhen Zhao; Xiyu Liu; Xiufeng Li
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The 3 clusters and noise points on Iris database using DBSCAN-CPPI algorith.

  6. w

    Global Iris Recognition Technology Market Research Report: By Technology...

    • wiseguyreports.com
    Updated May 3, 2025
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    wWiseguy Research Consultants Pvt Ltd (2025). Global Iris Recognition Technology Market Research Report: By Technology (Iris Scanners, Iris Recognition Algorithms, Iris Database Management Systems), By Application (Security and Surveillance, Identity Management, Healthcare, Banking and Finance, Government and Law Enforcement), By End-Use (Law Enforcement, Border Control, Financial Institutions, Healthcare, Enterprise), By Components (Hardware, Software, Services), By Deployment Model (On-Premise, Cloud) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2032. [Dataset]. https://www.wiseguyreports.com/es/reports/iris-recognition-technology-market
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    Dataset updated
    May 3, 2025
    Dataset authored and provided by
    wWiseguy Research Consultants Pvt Ltd
    License

    https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy

    Time period covered
    May 24, 2025
    Area covered
    Global
    Description
    BASE YEAR2024
    HISTORICAL DATA2019 - 2024
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    MARKET SIZE 20233.6(USD Billion)
    MARKET SIZE 20244.17(USD Billion)
    MARKET SIZE 203213.5(USD Billion)
    SEGMENTS COVEREDAcquisition Devices ,Iris Data Processing Software ,Application ,Industry Vertical ,Iris Recognition Biometrics ,Regional
    COUNTRIES COVEREDNorth America, Europe, APAC, South America, MEA
    KEY MARKET DYNAMICSIncreasing Security Concerns Government Initiatives Technological Advancements Growing Adoption in Healthcare Rising Demand from Banking Sector
    MARKET FORECAST UNITSUSD Billion
    KEY COMPANIES PROFILEDTop 10-15 players in the Global iris recognition technology Market: ,IriTech ,IrisGuard ,iProov ,Crossmatch ,LG Electronics ,NEC Corporation ,Fujitsu ,Thales
    MARKET FORECAST PERIOD2024 - 2032
    KEY MARKET OPPORTUNITIESIncreased demand in border control Growing adoption in healthcare Rising usage in banking and finance Integration with mobile devices Expansion into emerging markets
    COMPOUND ANNUAL GROWTH RATE (CAGR) 15.82% (2024 - 2032)
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(2024). J. Cui, Y. Wang, J. Huang, T. Tan, Z. Sun (2024). Dataset: Synthetic Iris Database. https://doi.org/10.57702/e86a81hh [Dataset]. https://service.tib.eu/ldmservice/dataset/synthetic-iris-database

J. Cui, Y. Wang, J. Huang, T. Tan, Z. Sun (2024). Dataset: Synthetic Iris Database. https://doi.org/10.57702/e86a81hh

Explore at:
Dataset updated
Dec 16, 2024
Description

A dataset of iris images synthesized using PCA and super-resolution.

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