Systems and methods for enhanced hash transforms
Systems and methods for enhanced hash transforms are disclosed. In particular embodiments, biometric data is concatenated with non-biometric data for generating a fixed-sized vector, and furthermore performing various permutations and projections on the vector. The resulting vector may be stored in a registry, and a corresponding key may be generated and provided to the user associated with the biometric data. The hash transformation may be a lossy process, such that the resulting hash includes less bytes than the initial biometric data, and a hash reversal fails to generate an exact copy of the original biometric data.
1. A method comprising:
receiving biometric data corresponding to a user, wherein the biometric data is represented as a first vector of floating point values;
receiving non-biometric data comprising a second vector of floating point values;
concatenating the biometric data with the non-biometric data into a third vector of floating point values;
permuting the third vector, wherein permuting the third vector comprises swapping locations of vector data elements within the third vector according to a seed associated with the non-biometric data; and
scaling each vector data element of the permuted third vector according to the seed to generate a biometric template corresponding to the received biometric data.
2. The method of claim 1 , further comprising:
generating a unique key associated with the received biometric data; and
storing the unique key in a database, wherein the unique key is stored in association with the generated biometric template.
3. The method of claim 2 , wherein the unique key is transmitted to a computing device of the user for identity verification.
4. The method of claim 3 , wherein the unique key is a QR code.
5. The method of claim 1 , wherein the size of the third vector of floating point values is less than a combined size of the first vector of floating point values and the second vector of floating point values.
6. The method of claim 5 , wherein the size of the first vector of floating point values is 128 bytes, the size of the second vector of floating point values is 8 bytes, and the size of the third vector of floating point values is 128 bytes.
7. The method of claim 6 , wherein the size of the third vector of floating point values is reduced to generate a lossy biometric template.
8. The method of claim 1 , wherein the seed is generated via a random number generator.
9. The method of claim 2 , wherein the database comprises a data lake.
10. The method of claim 1 , wherein the biometric data comprises encoded image data captured via a computing device of the user.
11. A system comprising:
a hash controller; and
a hash processor, wherein the hash processor is operatively configured to:
receive biometric data corresponding to a user, wherein the biometric data is represented as a first vector of floating point values;
receive non-biometric data comprising a second vector of floating point values;
concatenate the biometric data with the non-biometric data into a third vector of floating point values;
permute the third vector, wherein permuting the third vector comprises swapping locations of vector data elements within the third vector according to a seed associated with the non-biometric data; and
scaling each vector data element of the permuted third vector according to the seed to generate a biometric template corresponding to the received biometric data.
12. The system of claim 11 , wherein the hash processor is further operatively configured to:
generate a unique key associated with the received biometric data; and
store the unique key in a database, wherein the unique key is stored in association with the generated biometric template.
13. The system of claim 12 , wherein the unique key is transmitted to a computing device of the user for identity verification.
14. The system of claim 13 , wherein the unique key is a QR code.
15. The system of claim 11 , wherein the size of the third vector of floating point values is less than a combined size of the first vector of floating point values and the second vector of floating point values.
16. The system of claim 15 , wherein the size of the first vector of floating point values is 128 bytes, the size of the second vector of floating point values is 8 bytes, and the size of the third vector of floating point values is 128 bytes.
17. The system of claim 16 , wherein the size of the third vector of floating point values is reduced to generate a lossy biometric template.
18. The system of claim 11 , wherein the seed is generated via a random number generator.
19. The system of claim 12 , wherein the database comprises a data lake.
20. The system of claim 11 , wherein the biometric data comprises encoded image data captured via a computing device of the user.