Name
Abstract | ||
|---|---|---|
Personal identification has lately become a very important issue in the still evolving network society. Biometrics identification methods proved to be very efficient, more natural and easy for users than traditional methods of human identification. Hereby we discuss the idea of human identification based on keystroke dynamics. In the article we focus on our methods of feature extraction from the typing patterns. Moreover, we present satisfactory experimental results and possible applications of keystroke biometrics. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-71629-7_48 | ICANNGA (2) |
Keywords | Field | DocType |
keystroke biometrics,important issue,feature extraction,biometrics identification method,biometrics identification,personal identification,possible application,satisfactory experimental result,human identification,network society,keystroke dynamics,keystroke dynamic | False rejection rate,Computer science,Keystroke dynamics,Speech recognition,Feature extraction,Typing,Artificial intelligence,Biometrics,Biometric system,Machine learning | Conference |
Volume | ISSN | Citations |
4432 | 0302-9743 | 5 |
PageRank | References | Authors |
0.45 | 9 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michał Choraś | 1 | 129 | 18.82 |
| Piotr Mroczkowski | 2 | 12 | 1.68 |