Name
Abstract | ||
|---|---|---|
Fingerprint identification is an important technology in the area of network security and identity authentication. This paper studies fingerprint identification by using a new mathematic method of binary function and its partial derivative and directional derivative. The method not only emphasizes on the characteristic of fingerprint, but also concerns about the singularity characteristic of fingerprint images, which increases the accuracy of fingerprint identification. Finally, simulation was performed to test the proposed algorithm with the use of Matlab, thereby the feasibility and rationality of the method were confirmed. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/GreenCom-iThings-CPSCom.2013.391 | GreenCom/iThings/CPScom |
Keywords | Field | DocType |
directional derivative,fingerprint identification,network security,singularity characteristic,binary function,fingerprint image,new mathematic description,paper studies fingerprint identification,important technology,new mathematic method,identity authentication,security,mathematical analysis | MATLAB,Authentication,Pattern recognition,Fingerprint recognition,Computer science,Network security,Binary function,Theoretical computer science,Partial derivative,Fingerprint,Artificial intelligence,Directional derivative | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhao Ma | 1 | 0 | 0.34 |
| Shanyu Tang | 2 | 213 | 17.47 |
| Liping Zhang | 3 | 0 | 0.34 |
| Linchen Yu | 4 | 28 | 6.49 |
| Sifa Zhang | 5 | 11 | 1.96 |