Face Recognition Based on FP-Growth Improved LBP Operator

The basic features extracted by the basic LBP operator are not complete. It only analyzes the symbolic values of local differences. How to improve the features extracted by the LBP operator and how to effectively express the information that the basic LBP operator fails to express to achieve a better recognition rate has not yet been solved. By selecting FP-tree, the grey value of the image is frequently analyzed, and then the feature of LBP is used to extract features, so as to obtain a more comprehensive local feature of the extracted facial image.

[1]  J. Daugman Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters. , 1985, Journal of the Optical Society of America. A, Optics and image science.

[2]  Xin Jin,et al.  Pattern Learning Based Parallel Ant Colony Optimization , 2017, 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC).

[3]  Xin Jin,et al.  Face recognition based on weighted multi-channel Gabor sparse representation and optimized extreme learning machines , 2017, 2017 3rd IEEE International Conference on Computer and Communications (ICCC).

[4]  Matti Pietikäinen,et al.  Face Description with Local Binary Patterns: Application to Face Recognition , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[5]  Penio S. Penev,et al.  Local feature analysis: A general statistical theory for object representation , 1996 .

[6]  Xin Jin,et al.  Image super-resolution reconstruction algorithm based on Bayesian theory , 2018, 2018 13th IEEE Conference on Industrial Electronics and Applications (ICIEA).

[7]  Marian Stewart Bartlett,et al.  Face recognition by independent component analysis , 2002, IEEE Trans. Neural Networks.

[8]  M. Turk,et al.  Eigenfaces for Recognition , 1991, Journal of Cognitive Neuroscience.

[9]  Wenbo Zheng,et al.  An improved pagerank algorithm based on fuzzy C-means clustering and information entropy , 2017, 2017 3rd IEEE International Conference on Control Science and Systems Engineering (ICCSSE).

[10]  J. Nougayrède,et al.  ClbP Is a Prototype of a Peptidase Subgroup Involved in Biosynthesis of Nonribosomal Peptides* , 2011, The Journal of Biological Chemistry.

[11]  Xin Jin,et al.  Robust and high capacity watermarking for image based on DWT-SVD and CNN , 2018, 2018 13th IEEE Conference on Industrial Electronics and Applications (ICIEA).

[12]  Matti Pietikäinen,et al.  A comparative study of texture measures with classification based on featured distributions , 1996, Pattern Recognit..

[13]  Xin Jin,et al.  Access control of cloud users credible behavior based on IPv6 , 2018, 2018 IEEE 3rd International Conference on Big Data Analysis (ICBDA).

[14]  K. Etemad,et al.  Discriminant analysis for recognition of human face images , 1997 .

[15]  Fei-Yue Wang,et al.  An ACP-based approach to color image encryption using DNA sequence operation and hyper-chaotic system , 2017, 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC).