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» Improvement on PCA and 2DPCA Algorithms for Face Recognition
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ICDAR
2009
IEEE
14 years 2 months ago
An Improved Online Tamil Character Recognition Engine Using Post-Processing Methods
We propose script-specific post processing schemes for improving the recognition rate of online Tamil characters. At the first level, features derived at each sample point of the ...
Suresh Sundaram, Angarai Ganesan Ramakrishnan
ICMCS
2006
IEEE
165views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Partial LDA vs Partial PCA
Recently, 3D face recognition algorithms have outperformed 2D conventional approaches by adding depth data to the problem. However, independently of the nature (2D or 3D) of the a...
Antonio Rama, Francesc Tarres
IMCSIT
2010
13 years 4 months ago
The development features of the face recognition system
Nowadays personal identification is a very important issue. There is a wide range of applications in different spheres, such as video surveillance security systems, control of docu...
Rauf Sadykhov, Igor Frolov
CVPR
2008
IEEE
14 years 9 months ago
Robust tensor factorization using R1 norm
Over the years, many tensor based algorithms, e.g. two dimensional principle component analysis (2DPCA), two dimensional singular value decomposition (2DSVD), high order SVD, have...
Heng Huang, Chris H. Q. Ding
MVA
2007
170views Computer Vision» more  MVA 2007»
13 years 8 months ago
Adaptive Modified PCA for Face Recognition
In many real-world applications such as face recognition and mobile robotics, we need to use an adaptive version of feature extraction techniques. In this paper, we introduce an a...
Youness Aliyari Ghassabeh, Hamid Abrishami Moghadd...