Method and system for alleviating authenticity of sensors in biometric authentication

An authentication system for alleviating authenticity of sensors in biometric authentication, comprising:

• a processor;
• and
• a memory communicatively coupled to the processor, wherein the memory stores processor instructions, which, on execution, causes the processor to:
• receive fingerprint data from a plurality of sensing devices configured in the authentication system;
• extract one or more attributes associated with the fingerprint data;
• determine an expanded value for each of the one or more attributes based on one or more predefined techniques;
• train a model associated with authentication of fingerprints using the one or more attributes and corresponding expanded value;
• predict one or more errors associated with the fingerprint data based on fingerprint data received over a period of time in real-time;
• and
• perform retraining of the model based on the predicted one or more errors to alleviate authenticity of sensors in biometric authentication.

A non-transitory computer readable medium including instruction stored thereon that when processed by at least one processor cause an authentication system to perform operation comprising:

• receiving fingerprint data from a plurality of sensing devices configured in the authentication system;
• extracting one or more attributes associated with the fingerprint data;
• determining an expanded value for each of the one or more attributes based on one or more predefined techniques;
• training a model associated with authentication of fingerprints using the one or more attributes and corresponding expanded value;
• predicting one or more errors associated with the fingerprint data based on fingerprint data received over a period of time in real-time;
• and
• performing retraining of the model based on the predicted one or more errors to alleviate authenticity of sensors in biometric authentication.