| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0397243 |
| utime |
20240103203058.7 |
| mtime |
20140124235959.9 |
| WOS |
000336080600044 |
| DOI |
10.1109/BTAS.2013.6712729 |
| title
(primary) (eng) |
Non-Iris Occlusions Detection |
| specification |
| page_count |
6 s. |
| media_type |
C |
|
| serial |
| ARLID |
cav_un_epca*0424323 |
| ISBN |
978-1-4799-0527-0 |
| title
|
Biometrics: Theory, Applications and Systems (BTAS), 2013 |
| page_num |
1-6 |
| publisher |
| place |
Piscataway |
| name |
IEEE |
| year |
2013 |
|
|
| keyword |
iris recognition |
| keyword |
iris occlusion |
| author
(primary) |
| ARLID |
cav_un_auth*0101093 |
| name1 |
Haindl |
| name2 |
Michal |
| full_dept (cz) |
Rozpoznávání obrazu |
| full_dept (eng) |
Department of Pattern Recognition |
| department (cz) |
RO |
| department (eng) |
RO |
| institution |
UTIA-B |
| full_dept |
Department of Pattern Recognition |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0292156 |
| name1 |
Krupička |
| name2 |
Mikuláš |
| full_dept (cz) |
Rozpoznávání obrazu |
| full_dept |
Department of Pattern Recognition |
| department (cz) |
RO |
| department |
RO |
| institution |
UTIA-B |
| full_dept |
Department of Pattern Recognition |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| project_id |
GAP103/11/0335 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0273627 |
|
| project |
| project_id |
GA102/08/0593 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0239567 |
|
| abstract
(eng) |
The prerequisite for the accurate iris recognition is to detect all iris occlusions which would otherwise confuse a recognition method and impair its recognition rate. This paper presents a fast multispectral eyelid, eyelash, and reflection detection method based on the underlying three-dimensional spatial probabilistic textural model. The model first adaptively learns its parameters on the flawless iris texture part and subsequently checks for non iris occlusions using the recursive prediction analysis. We provide colour iris occlusion detection results that indicate the advantages of the proposed method and compare it with 97 recent Noisy Iris Challenge Evaluation algorithms. |
| action |
| ARLID |
cav_un_auth*0294813 |
| name |
The IEEE Sixth International Conference on Biometrics: Theory, Applications, and Systems (BTAS 2013) |
| place |
Washington DC |
| dates |
29.09.2013-02.10.2013 |
| country |
US |
|
| reportyear |
2014 |
| RIV |
BD |
| num_of_auth |
2 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0225895 |
| arlyear |
2013 |
| mrcbU34 |
000336080600044 WOS |
| mrcbU63 |
cav_un_epca*0424323 Biometrics: Theory, Applications and Systems (BTAS), 2013 978-1-4799-0527-0 1 6 Piscataway IEEE 2013 |
|