We are living in the today’s society, where we have fairly-enough storage capacity and processing power, the only issue is with security. As, the technologies are evolving with faster rate, we are tend to grow the use of electronic devices rapidly in todays’ society, it started to flow or leakage of personal information around/across, which then leads to breach of this information. Now, personal or identical verification is key problem is being crucial. So whatever traditional methods we have for providing authentication or security those have proven inadequate to be unreliable and do not provide strong security. Biometric template protection is one of the most important issues in securing today’s biometric system. We have many algorithms which don’t give adequate solution for the same. So we tried to give a method which will reach to the expectations more satisfactorily and certainly to the extent required. In this paper we have discussed a hybrid method for finger vein biometric recognition based on deep learning approach using BDD and fuzzy commitment schemes. The proposed hybrid method consists of four parts, namely Finger vein feature extraction, BDD-based secure template generation, Fuzzy commitment scheme and ML based finger vein recognition and decision making. Thus it has four module and each module works efficiently and gives accurate results on all databases.
