Abstract
A vast amount of growth has taken place in the field of biometrics and in the healthcare industry. Biometrics provides the ability to identify individuals based on their physical and behavioral characteristics. The fusion of biometrics and information systems in the healthcare environment has provided a new approach to determine the identity of patients. In this paper, we investigate the biometric system and the authentication process using periocular biometrics specifically. We integrate this approach with the healthcare system to provide an advanced method to identify the patients securely. We propose a new technique that fuses the use of periocular biometrics and the electronic master patient index in healthcare information systems to identify humans in the healthcare environment. A comparative analysis of different periocular biometric recognition methods is conducted and assessed against various traditional and deep learning-based methods in our research study.
| Original language | English |
|---|---|
| Journal | Array Elsevier |
| Volume | 8 |
| State | Published - 2020 |