Repository logo
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Italiano
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Suomi
  • Svenska
  • Türkçe
  • Tiếng Việt
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Српски
  • Yкраї́нська
  • Log In
    New user? Click here to register. Have you forgotten your password?
Repository logo
  • Communities & Collections
  • All of the Repository
  • IR Policy
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Italiano
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Suomi
  • Svenska
  • Türkçe
  • Tiếng Việt
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Српски
  • Yкраї́нська
  • Log In
    New user? Click here to register. Have you forgotten your password?
  1. Home
  2. Browse by Author

Browsing by Author "ADEGBOYE, Olujoba James"

Now showing 1 - 1 of 1
Results Per Page
Sort Options
  • No Thumbnail Available
    ItemMetadata only
    Development of Iris Recognition System Using Enhanced Convolution Neural Network
    (Bells University of Technology, Ota., 2020-09-21) ADEGBOYE, Olujoba James; Dr. Adegoke M.A.
    Biometric traits such as face, iris, voice, fingerprint, and palm print have proved to be unique to each person and constant throughout its lifetime. Among all biometric characteristics, iris patterns have been revealed as one of the most reliable biometric traits to distinguish among different persons. Iris recognition is usually known as eye iris network pattern recognition technology, iris, more reliable and state for identification because iris is a unique feature which h does not change with age it remains stable and fixed from about one year of age throughout life. This research work developed an enhanced convolution neural network-based systems to recognize features. The enhancement was done using gravitational search algorithm (GSA).
Get in touch
  • Bells University of Technology, Ota, Ogun State, Nigeria
  • ir@bellsuniversity.edu.ng
  • +2348139327665
Quick Links
  • University Website
  • Library Website
  • Library WEBPAC
  • Submission Guidelines
Socials

Bells University of Technology, Ota © 2026 Powered by Eko-Konnect

  • Cookie settings
  • Send Feedback