Feature Fusion Pyramid Network Cosine Similarity-based Face Recognition for Patient Information Access

Abstract

Patient information access control has become progressively significant as far as healthcare systems are concerned. It is pivotal to boost healthcare security to circumvent data loss in spite of the numerous security mechanism provided by healthcare management. The gaps required to be addressed using an elaborate secure mechanism that permits users in access the data based on the confidentiality level. In this work, we propose a novel Feature Fusion Pyramid Network Cosine Similarity-based face recognition for patient information access, which uses blockchain along with the Feature Fusion Pyramid Network to mention safety disquiet as well as facilitate choosy sharing of medical documentation between doctors and patients.