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Eigen directional bit-planes for robust face recognition.
- Source :
- IEEE Transactions on Consumer Electronics; Nov2014, Vol. 60 Issue 4, p702-709, 8p
- Publication Year :
- 2014
-
Abstract
- A visible image?based face recognition system can be seriously degraded in real-life environments by various factors including illumination changes, expression changes, occlusion, and disguise. In this paper, a novel feature descriptor for robust face recognition, Eigen Directional Bit-Plane (EDBP), is introduced to address these issues. It is observed that Local Binary Pattern (LBP) can be decomposed into 8 directional bit-planes (DBP), each of which represents certain directional information of the facial image. Principal Component Analysis (PCA) is then applied to the DBP space to obtain a more compact feature, the EDBP. For face recognition, the proposed EDBP is integrated into conventional state-of-the-art classification methods. Simulation results demonstrate that classifiers with EDBP outperform those with existing feature descriptors under illumination changes, expression changes, occlusion, and disguise. [ABSTRACT FROM PUBLISHER]
- Subjects :
- FACE perception
IMAGE processing
EIGENANALYSIS
BIOMETRIC identification
BIOMETRY
Subjects
Details
- Language :
- English
- ISSN :
- 00983063
- Volume :
- 60
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- IEEE Transactions on Consumer Electronics
- Publication Type :
- Academic Journal
- Accession number :
- 100871738
- Full Text :
- https://doi.org/10.1109/TCE.2014.7027346