Face recognition algorithm based on discriminative dictionary learning and sparse representation

In order to overcome the defect that the face recognition (FR) rate is greatly reduced in the existing uncontrolled environments such as the change of illumination, occlusion, and posture, etc, Face recognition algorithm based on discriminative dictionary learning and regularized robust coding was proposed. In this proposed algorithm, the Gabor amplitude images of a face image are obtained via using Gabor filter at first, then we extract the uniform local binary histogram and use Fisher criterion to gain a new dictionary, finally the test image is classified as the existing class via sparse representation Coding. The experimental results obtained from Extended Yale B databases and AR databases show that the proposed algorithm has higher face recognition rate in the existing uncontrolled environments in comparison with K-SVD, LC-K-SVD, FDDL and so on.

[1]  Meng Wang,et al.  Multimedia Question Answering , 2010, IEEE MultiMedia.

[2]  Zhong Jin,et al.  A Novel Multiple Kernel Sparse Representation based Classification for Face Recognition , 2014, KSII Trans. Internet Inf. Syst..

[3]  Meng Wang,et al.  Image quality assessment based on matching pursuit , 2014, Inf. Sci..

[4]  Hung-Khoon Tan,et al.  Beyond search: Event-driven summarization for web videos , 2011, TOMCCAP.

[5]  Jun Hu,et al.  Advertising object in web videos , 2013, Neurocomputing.

[6]  Larry S. Davis,et al.  Label Consistent K-SVD: Learning a Discriminative Dictionary for Recognition , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[7]  Meng Wang,et al.  Video accessibility enhancement for hearing-impaired users , 2011, TOMCCAP.

[8]  Lei Zhang,et al.  Gabor Feature Based Sparse Representation for Face Recognition with Gabor Occlusion Dictionary , 2010, ECCV.

[9]  Svetha Venkatesh,et al.  Joint learning and dictionary construction for pattern recognition , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[10]  Jun Yu,et al.  Click Prediction for Web Image Reranking Using Multimodal Sparse Coding , 2014, IEEE Transactions on Image Processing.

[11]  Lixiao Zhang,et al.  An Improved Face Recognition Method Based on Gabor Wavelet Transform and SVM , 2012, 2012 Fifth International Symposium on Computational Intelligence and Design.

[12]  Alejandro F. Frangi,et al.  Two-dimensional PCA: a new approach to appearance-based face representation and recognition , 2004 .

[13]  Gregory Shakhnarovich,et al.  Face Recognition in Subspaces , 2011, Handbook of Face Recognition.

[14]  Jianguo Jiang,et al.  Directional projection based image fusion quality metric , 2014, Inf. Sci..

[15]  M. Elad,et al.  $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation , 2006, IEEE Transactions on Signal Processing.

[16]  Baoxin Li,et al.  Discriminative K-SVD for dictionary learning in face recognition , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[17]  Meng Wang,et al.  Image clustering based on sparse patch alignment framework , 2014, Pattern Recognit..

[18]  David Zhang,et al.  Fisher Discrimination Dictionary Learning for sparse representation , 2011, 2011 International Conference on Computer Vision.

[19]  Tomaso A. Poggio,et al.  Face recognition with support vector machines: global versus component-based approach , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

[20]  Ja-Chen Lin,et al.  A new LDA-based face recognition system which can solve the small sample size problem , 1998, Pattern Recognit..

[21]  Anil K. Jain,et al.  Face Matching and Retrieval in Forensics Applications , 2012, IEEE MultiMedia.

[22]  Yiming Yang,et al.  Modified Logistic Regression: An Approximation to SVM and Its Applications in Large-Scale Text Categorization , 2003, ICML.

[23]  Xuelong Li,et al.  Image Annotation by Multiple-Instance Learning With Discriminative Feature Mapping and Selection , 2014, IEEE Transactions on Cybernetics.

[24]  Dapeng Tao,et al.  Discriminative dictionary learning via Fisher discrimination K-SVD algorithm , 2015, Neurocomputing.

[25]  Meng Wang,et al.  Adaptive Hypergraph Learning and its Application in Image Classification , 2012, IEEE Transactions on Image Processing.

[26]  Matti Pietikäinen,et al.  Face Recognition with Local Binary Patterns , 2004, ECCV.

[27]  Allen Y. Yang,et al.  Robust Face Recognition via Sparse Representation , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[28]  Larry S. Davis,et al.  Learning a discriminative dictionary for sparse coding via label consistent K-SVD , 2011, CVPR 2011.

[29]  David J. Kriegman,et al.  From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[30]  Guillermo Sapiro,et al.  Supervised Dictionary Learning , 2008, NIPS.

[31]  Keinosuke Fukunaga,et al.  Introduction to Statistical Pattern Recognition , 1972 .