Iris Image Data Base Management Using Retinal Biometric Data for Security Applications

IrisDB (Iris image Data Base) is an innovative database system presented in this work, designed to optimize the processes of retinal biometric data storage and retrieval. IrisDB effectively tackles the distinct obstacles presented by the substantial file size and high dimensionality of iris images through the incorporation of state-of-the-art indexing methodologies, optimal compression algorithms, and resilient encryption systems. To optimize storage utilization and facilitate retrieval operations, the system implements a hybrid compression method and a multi-tiered indexing mechanism. Critical data is further protected by AES-256 encryption. According to the testing outcomes, IrisDB is the optimal solution for large-scale biometric databases due to its substantial reduction in storage requirements and enhancement in retrieval times when compared to current systems. IrisDB competency in effectively managing enrollment and verification procedures is demonstrated through its thorough exposition of its architecture and workflow. Iris biometric data is utilized by numerous identification and security applications; the scalable and secure architecture of IrisDB has the capacity to fundamentally transform this procedure.