Face Recognition by Elastic Bunch Graph Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
The FERET Evaluation Methodology for Face-Recognition Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face recognition: A literature survey
ACM Computing Surveys (CSUR)
Robust Real-Time Face Detection
International Journal of Computer Vision
Handbook of Face Recognition
Jensen-Shannon Boosting Learning for Object Recognition
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
YALE: rapid prototyping for complex data mining tasks
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Combining Crypto with Biometrics Effectively
IEEE Transactions on Computers
Journal of Cognitive Neuroscience
Image understanding for iris biometrics: A survey
Computer Vision and Image Understanding
The WEKA data mining software: an update
ACM SIGKDD Explorations Newsletter
Dominant local binary patterns for texture classification
IEEE Transactions on Image Processing
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
Local binary patterns variants as texture descriptors for medical image analysis
Artificial Intelligence in Medicine
Enhanced local texture feature sets for face recognition under difficult lighting conditions
IEEE Transactions on Image Processing
Face Recognition Based on Local Binary Patterns with Threshold
GRC '10 Proceedings of the 2010 IEEE International Conference on Granular Computing
Face recognition with decision tree-based local binary patterns
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part IV
Recognition of human actions using texture descriptors
Machine Vision and Applications - Special Issue on Dynamic Textures in Video
Boosting local binary pattern (LBP)-Based face recognition
SINOBIOMETRICS'04 Proceedings of the 5th Chinese conference on Advances in Biometric Person Authentication
Face recognition with local gabor textons
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Learning multi-scale block local binary patterns for face recognition
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Hi-index | 12.05 |
Local Binary Patterns are considered as one of the texture descriptors with better results; they employ a statistical feature extraction by means of the binarization of the neighborhood of every image pixel with a local threshold determined by the central pixel. The idea of using Local Binary Patterns for face description is motivated by the fact that faces can be seen as a composition of micro-patterns which are properly described by this operator and, consequently, it has become a very popular technique in recent years. In this work, we show a method to calculate the most important or Principal Local Binary Patterns for recognizing faces. To do this, the attribute evaluator algorithm of the data mining tool Weka is used. Furthermore, since we assume that each face region has a different influence on the recognition process, we have designed a 9-region mask and obtained a set of optimized weights for this mask by means of the data mining tool RapidMiner. Our proposal was tested with the FERET database and obtained a recognition rate varying between 90% and 94% when using only 9 uniform Principal Local Binary Patterns, for a database of 843 individuals; thus, we have reduced both the dimension of the feature vectors needed for completing the recognition tasks and the processing time required to compare all the faces in the database.