Name
Title | ||
|---|---|---|
Fixed-length asymmetric binary hashing for fingerprint verification through GMM-SVM based representations. |
Abstract | ||
|---|---|---|
•This study is a step towards a complete secure fingerprint authentication system in which fixed-length binary minutiae templates generated by our framework can be encrypted and matched via homomorphic encryption methods in an encrypted domain.•A method for converting unordered and varying number of minutiae into a fixed-length binary string is proposed.•The framework is based on GMM-SVM fingerprint verification scheme. Novel features are proposed for GMM-SVM since it is not clear what would be the best features to use for fingerprint.•GMM-SVM feature vectors are binarized using asymmetric locality sensitive hashing.•Higher recognition accuracies are obtained compared to the state-of-the-art methods. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.patcog.2018.11.029 | Pattern Recognition |
Keywords | Field | DocType |
Fingerprint verification,Biometric template protection,Minutiae protection,Fixed-length minutiae representation | Locality-sensitive hashing,Feature vector,Pattern recognition,Fingerprint recognition,Minutiae,Fingerprint Verification Competition,Fingerprint,Hamming distance,Artificial intelligence,Hash function,Mathematics | Journal |
Volume | Issue | ISSN |
88 | 1 | 0031-3203 |
Citations | PageRank | References |
1 | 0.37 | 33 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Berkay Topcu | 1 | 20 | 3.55 |
| H. Erdogan | 2 | 589 | 55.11 |