Name
Abstract | ||
|---|---|---|
Biometric verification of subjects as users of computers or other devices has mainly based on fingerprints, face, iris or other images. We developed biometric verification using eye movements to be measured with eye movement videocameras. We measured saccades using the same stimulation for each subject. Our data included signals recorded in two manners: electrooculographically from 30 subjects and with a videocamera system from additional 30 subjects. Verification tests were run with k-means clustering, linear and quadratic discriminant analysis, Naïve Bayes rule and k nearest neighbour searching. The highest accuracies were obtained with k-means clustering, discriminant analysis and Naïve Bayes rule, up to 90% and even close to 100% at their best. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1504/IJBM.2012.049736 | IJBM |
Keywords | Field | DocType |
biometric verification, eye movements, saccades, signal analysis, classification, data analysis | Computer vision,Signal processing,Naive Bayes classifier,Pattern recognition,Computer science,Eye movement,Artificial intelligence,Biometrics,Linear discriminant analysis,Saccade,Cluster analysis,Quadratic classifier | Journal |
Volume | Issue | ISSN |
4 | 4 | 1755-8301 |
Citations | PageRank | References |
8 | 0.51 | 22 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Youming Zhang | 1 | 22 | 1.63 |
| Jyrki Rasku | 2 | 28 | 6.38 |
| Martti Juhola | 3 | 456 | 63.94 |