Abstract
Fake iris detection is to detect and defeat a fake (forgery) iris image input. To solve the problems of previous researches on fake iris detection, we propose the new method of detecting fake iris attack based on the Purkinje image. Especially, we calculated the theoretical positions and distances between the Purkinje images based on the human eye model and the performance of fake detection algorithm could be much enhanced by such information. Experimental results showed that the FAR (False Acceptance Rate for accepting fake iris as live one) was 0.33% and FRR(False Rejection Rate of rejecting live iris as fake one) was 0.33%.
| Original language | English |
|---|---|
| Title of host publication | Advances in Biometrics - International Conference, ICB 2006, Proceedings |
| Pages | 397-403 |
| Number of pages | 7 |
| Publication status | Published - 2006 Jun 15 |
| Event | International Conference on Biometrics, ICB 2006 - Hong Kong, China Duration: 2006 Jan 5 → 2006 Jan 7 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 3832 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Other
| Other | International Conference on Biometrics, ICB 2006 |
|---|---|
| Country | China |
| City | Hong Kong |
| Period | 06/1/5 → 06/1/7 |
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All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)
Cite this
}
Fake iris detection by using purkinje image. / Lee, Eui Chul; Park, Kang Ryoung; Kim, Jaihie.
Advances in Biometrics - International Conference, ICB 2006, Proceedings. 2006. p. 397-403 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3832 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Fake iris detection by using purkinje image
AU - Lee, Eui Chul
AU - Park, Kang Ryoung
AU - Kim, Jaihie
PY - 2006/6/15
Y1 - 2006/6/15
N2 - Fake iris detection is to detect and defeat a fake (forgery) iris image input. To solve the problems of previous researches on fake iris detection, we propose the new method of detecting fake iris attack based on the Purkinje image. Especially, we calculated the theoretical positions and distances between the Purkinje images based on the human eye model and the performance of fake detection algorithm could be much enhanced by such information. Experimental results showed that the FAR (False Acceptance Rate for accepting fake iris as live one) was 0.33% and FRR(False Rejection Rate of rejecting live iris as fake one) was 0.33%.
AB - Fake iris detection is to detect and defeat a fake (forgery) iris image input. To solve the problems of previous researches on fake iris detection, we propose the new method of detecting fake iris attack based on the Purkinje image. Especially, we calculated the theoretical positions and distances between the Purkinje images based on the human eye model and the performance of fake detection algorithm could be much enhanced by such information. Experimental results showed that the FAR (False Acceptance Rate for accepting fake iris as live one) was 0.33% and FRR(False Rejection Rate of rejecting live iris as fake one) was 0.33%.
UR - http://www.scopus.com/inward/record.url?scp=33744951822&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33744951822&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:33744951822
SN - 3540311114
SN - 9783540311119
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 397
EP - 403
BT - Advances in Biometrics - International Conference, ICB 2006, Proceedings
ER -