Dr. Adegoke M.A.ADEGBOYE, Olujoba James2026-08-312026-08-312020-09-21https://ir.bellsuniversity.edu.ng/handle/123456789/605Xi.100pages.;illustration.hardbackBiometric 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).enChinese academyFalse posistiveFalse negativeDissertation