Health Care Infrastructure Security using Bimodal Biometrics System
Omobayo Ayokunle Esan, S.M. Ngwira, Tranos Zuva, Lerato Masupha · 2014
Ensuring the security of patient medical record has become an important issue with this current l electronic medical record, this is due to the fact that patient confidential health information can be access, view and edit on Personal Computer (PC) at any time. In order to protect the patient health confidential information, this research use bimodal biometric (face and fingerprint) authentication to secure patient Electronic Medical Record (EMR). The bimodal biometric (fingerprint and face) are often affected by distortions which are caused by environmental noise such as oil, wrinkles, dry skin and dirt. These often affect the biometric system accuracy during authentication stage. In order to protect and improve the accuracy of patient Electronic medical Record (EMR) in health care infrastructure, this study introduced Modified Gabor Filter (MGF), a fast Principal Component Analysis (PCA) algorithm with Support Vector Machine (SVM) to address the issues of fingerprint and face image distortion respectively. From the experiment conducted from 1000 patients with 20 fingerprint and face image from each to give 50 test cases. The result shows that the proposed bimodal biometrics approach gives a lower False Rejection Rate (FRR) and False Acceptance Rate (FAR) and this shows better constructive accuracy of our system on patient EMR in health care infrastructure.