Method and system for biometric verification

A system for biometric verification comprising:

• one or more memories;
• and
• one or more hardware processors, the one or more memories coupled to the one or more hardware processors, wherein the one or more hardware processors are configured to execute programmed instructions in a trusted execution environment (TEE), the programmed instructions stored in the one or more memories, to:
• acquire a first biometric sample, the first biometric sample comprising at least a portion of a first high-resolution image of a biometric modality of a user;
• perform data augmentation on at least the portion of the first high resolution image to obtain a set of augmented image portions of the first biometric sample;
• obtain a set of first feature vectors corresponding to the set of augmented image portions and the first high resolution image;
• encrypt, using Fully Homomorphic Encryption, each first feature vector of the set of first feature vectors using a public key stored at a first computation device to obtain a set of first encrypted feature vectors;
• obtain a set of encrypted reduced dimensionality first feature vectors corresponding to the set of encrypted first feature vectors, wherein an encrypted reduced dimensionality first feature vector from amongst the set of encrypted reduced dimensionality first feature vectors corresponding to an encrypted first feature vector from amongst the set of encrypted first feature vector is obtained by performing a homomorphic operation of the encrypted feature vector with an encrypted random projection matrix encrypted using Fully Homomorphic Encryption, and wherein the encrypted random projection matrix is pre-assigned to the user and encrypted using the public key;
• share the set of encrypted reduced dimensionality first feature vectors with a second computation device, wherein the set of encrypted reduced dimensionality feature vectors are compared with a pre-stored homomorphic encrypted second feature vector corresponding to a second biometric sample associated with the user to obtain a set of matching scores, wherein a matching score between an encrypted reduced dimensionality first feature vector of the set of encrypted reduced dimensionality first feature vectors and the homomorphic encrypted second feature vector is indicative of an extent of matching between the first biometric sample and the second biometric sample, and wherein each matching score of the set of encrypted matching scores is encrypted via homomorphic encryption using the public key;
• receive, from the second device, the set of encrypted matching scores and decrypting the set of encrypted matching scores using a private key;
• and
• verify the user based on a comparison of the set of matching scores with a predetermined threshold score.

One or more non-transitory machine readable information storage mediums comprising one or more instructions which when executed by one or more hardware processors cause:

• acquiring, via one or more hardware processors, a first biometric sample, the first biometric sample comprising at least a portion of a first high-resolution image of a biometric modality of a user;
• performing, via the one or more hardware processors, data augmentation on at least the portion of the first high-resolution image to obtain a set of augmented image portions of the first biometric sample;
• obtaining a set of first feature vectors corresponding to the set of augmented image portions and the first high resolution image, via the one or more hardware processors;
• encrypting, using Fully Homomorphic Encryption, each first feature vector of the set of first feature vectors using a public key stored at a first computation device to obtain a set of first encrypted feature vectors, via the one or more hardware processors;
• obtaining, via the one or more hardware processors, a set of encrypted reduced dimensionality first feature vectors corresponding to the set of encrypted first feature vectors, wherein an encrypted reduced dimensionality first feature vector from amongst the set of encrypted reduced dimensionality first feature vectors corresponding to an encrypted first feature vector from amongst the set of encrypted first feature vector is obtained by performing a homomorphic operation of the encrypted feature vector with an encrypted random projection matrix encrypted using Fully Homomorphic Encryption and, and wherein the encrypted random projection matrix is pre-assigned to the user and is encrypted using the public key;
• sharing, via the one or more hardware processors, the set of encrypted reduced dimensionality first feature vectors with a second computation device, wherein the set of encrypted reduced dimensionality feature vectors are compared with a pre-stored homomorphic encrypted second feature vector corresponding to a second biometric sample associated with the user to obtain a set of matching scores, wherein a matching score between an encrypted reduced dimensionality first feature vector of the set of encrypted reduced dimensionality first feature vectors and the homomorphic encrypted second feature vector is indicative of an extent of matching between the first biometric sample and the second biometric sample, and wherein each matching score of the set of encrypted matching scores is encrypted via homomorphic encryption using the public key;
• receiving, from the second device, the set of encrypted matching scores and decrypting the set of encrypted matching scores using a private key, via the one or more hardware processors;
• and
• verifying the user based on a comparison of the set of matching scores with a predetermined threshold score, via the one or more hardware processors.