<p>This study proposed a blockchain-based framework for biometric identity management to verify user identities in transactions corresponding to the access control in the corporate facility. The proposed transaction validation procedure was implemented using blockchain technology to maintain and validate transactions performed by each registered user at the corporate facility, ensuring scalability, traceability, security, integrity, and no ambiguity. A motivation-demotivation mechanism is developed that provides incentives to the users for authorized identity validation and access control. A smart contract is used to validate the identity and grant access based on the validation result and predefined access control rules. The proposed model is implemented on Hyperledger Fabric, and its performance is evaluated on benchmark fingerprint databases DB1, DB2, DB3, DB4 of FVC2004 using the Hyperledger Caliper tool. The results of this study evaluate time, memory, and CPU utilization with the increase in the number of transactions. The highest memory consumption of 137.8 MB (for DB2) is recorded for identity registration, and the highest CPU consumption of 56% (for DB2) is recorded for the identity registration function. Later, a comparative analysis is done with some of the existing approaches, along with a discussion on the application of the proposed approach to federated identity management. The proposed system is designed to prevent unauthorized identities from accessing the network, thereby avoiding any potential negative impact on the system.</p>