Abstract
| Original language | English |
|---|---|
| Title of host publication | Advances in biometrics |
| Subtitle of host publication | Third International Conference, ICB 2009, Alghero, Italy, June 2-5, 2009. Proceedings |
| Editors | Massimo Tistarelli, Mark S. Nixon |
| Place of Publication | Berlin |
| Publisher | Springer |
| Pages | 404-413 |
| Number of pages | 10 |
| ISBN (Print) | 978-3-642-01792-6 |
| DOIs | |
| Publication status | Published - 4 Jun 2009 |
| Event | 3rd IAPR International Conference on Biometrics, ICB 2009 - University of Sassari, Alghero, Italy Duration: 2 Jun 2009 → 5 Jun 2009 Conference number: 3 |
Publication series
| Name | Lecture Notes in Computer Science |
|---|---|
| Publisher | Springer Verlag |
| Volume | 5558 |
| ISSN (Print) | 0302-9743 |
Conference
| Conference | 3rd IAPR International Conference on Biometrics, ICB 2009 |
|---|---|
| Abbreviated title | ICB |
| Country | Italy |
| City | Alghero |
| Period | 2/06/09 → 5/06/09 |
Fingerprint
Keywords
- METIS-263914
- Face Recognition
- Illumination Normalization
- Decision level fusion
- Model-based Face Illumination Correction
- EWI-15683
- hybrid fusion
- Score-level fusion
- Local Binary Patterns
- SCS-Safety
- IR-67800
Cite this
}
Combining Illumination Normalization Methods for Better Face Recognition. / Boom, B.J.; Tao, Q.; Spreeuwers, Lieuwe Jan; Veldhuis, Raymond N.J.
Advances in biometrics: Third International Conference, ICB 2009, Alghero, Italy, June 2-5, 2009. Proceedings. ed. / Massimo Tistarelli; Mark S. Nixon. Berlin : Springer, 2009. p. 404-413 (Lecture Notes in Computer Science; Vol. 5558).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
TY - GEN
T1 - Combining Illumination Normalization Methods for Better Face Recognition
AU - Boom, B.J.
AU - Tao, Q.
AU - Spreeuwers, Lieuwe Jan
AU - Veldhuis, Raymond N.J.
N1 - 10.1007/978-3-642-01793-3_42
PY - 2009/6/4
Y1 - 2009/6/4
N2 - Face Recognition under uncontrolled illumination conditions is partly an unsolved problem. There are two categories of illumination normalization methods. The first category performs a local preprocessing, where they correct a pixel value based on a local neighborhood in the images. The second category performs a global preprocessing step, where the illumination conditions and the face shape of the entire image are estimated. We use two illumination normalization methods from both categories, namely Local Binary Patterns and Model-based Face Illumination Correction. The preprocessed face images of both methods are individually classified with a face recognition algorithm which gives us two similarity scores for a face image. We combine the similarity scores using score-level fusion, decision-level fusion and hybrid fusion. In our previous work, we show that combining the similarity score of different methods using fusion can improve the performance of biometric systems. We achieved a significant performance improvement in comparison with the individual methods.
AB - Face Recognition under uncontrolled illumination conditions is partly an unsolved problem. There are two categories of illumination normalization methods. The first category performs a local preprocessing, where they correct a pixel value based on a local neighborhood in the images. The second category performs a global preprocessing step, where the illumination conditions and the face shape of the entire image are estimated. We use two illumination normalization methods from both categories, namely Local Binary Patterns and Model-based Face Illumination Correction. The preprocessed face images of both methods are individually classified with a face recognition algorithm which gives us two similarity scores for a face image. We combine the similarity scores using score-level fusion, decision-level fusion and hybrid fusion. In our previous work, we show that combining the similarity score of different methods using fusion can improve the performance of biometric systems. We achieved a significant performance improvement in comparison with the individual methods.
KW - METIS-263914
KW - Face Recognition
KW - Illumination Normalization
KW - Decision level fusion
KW - Model-based Face Illumination Correction
KW - EWI-15683
KW - hybrid fusion
KW - Score-level fusion
KW - Local Binary Patterns
KW - SCS-Safety
KW - IR-67800
U2 - 10.1007/978-3-642-01793-3_42
DO - 10.1007/978-3-642-01793-3_42
M3 - Conference contribution
SN - 978-3-642-01792-6
T3 - Lecture Notes in Computer Science
SP - 404
EP - 413
BT - Advances in biometrics
A2 - Tistarelli, Massimo
A2 - Nixon, Mark S.
PB - Springer
CY - Berlin
ER -