Human Recognition in Passive Environment Using Bidirectional Associative Memory

Automated Human recognition is challenging area to identify the human based on characteristics such as behavioral or physical. In this paper, the authors propose a noble approach for identifying the human by combining the two biometric face and ear recognition through bidirectional associative memory. This approach can be more suitable in passive environment such as surveillance .By combining two modality, they get the comparatively lower values of False Rejection Rate (FRR) and False Acceptance Rate (FAR). Using the proposed approach they can get comparatively lower value of FAR.