  Blockchain has emerged as a leading technology that ensures security in a
distributed framework. Recently, it has been shown that blockchain can be used
to convert traditional blocks of any deep learning models into secure systems.
In this research, we model a trained biometric recognition system in an
architecture which leverages the blockchain technology to provide fault
tolerant access in a distributed environment. The advantage of the proposed
approach is that tampering in one particular component alerts the whole system
and helps in easy identification of `any' possible alteration. Experimentally,
with different biometric modalities, we have shown that the proposed approach
provides security to both deep learning model and the biometric template.
