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Logic Mind Technologies
Vijayangar (Near Maruthi Medicals), Bangalore-40
Ph: 8123668124 // 8123668066
Title: Face Recognition by Exploiting Local Gabor
Features With Multitask Adaptive Sparse
Representation
Abstract—For a human face, the Gabor transform can extract its multiple scale and
orientation features that are very useful for the recognition. In this paper, the
Gabor-feature-based facerecognition is formulated as a multitask sparse
representation model, in which the sparse coding of each Gabor feature is regarded
as a task. To effectively exploit the complementary yet correlated information
among different tasks, a flexiblerepresentation algorithm termed multitask adaptive
sparse representation (MASR) is proposed. The MASR algorithm not only restricts
Gabor features of one test sample to be jointlyrepresented by training atoms from
the same class but also promotes the selected atoms for these features to be varied
within each class, thus allowing better representation. In addition, to use the local
information, we operate the MASR on local regions of Gabor features. Then, by
considering the structural characteristics of the face and the effects of the external
interferences, a structural–residual weighting strategy is proposed to adaptively
fuse the decision of each region. Experiments on various datasets verify the
effectiveness of the proposed method in dealing with face occlusion, corruption,
small number of training samples, as well as variations of lighting and expression.
Software & Hardware requirement:
1. Hardware requirement:
1. PC
2. RAM minimum 2GB
3. HDD minimum 100GB
2. Software requirement:
1. MATLAB 7.0
2. Signal processing toolbox
3. Image processing toolbox
4. Mathematical toolbox
PROJECT FLOW:
First Review:
Literature Survey
Paper Explanation
Design of Project
Project Enhancement explanation
Second Review:
Implementing 40% of Base Paper
Third Review
Implementing Remaining 60% of Base Paper with Future Enhancement
(Modification)
For More Details please contact
Logic Mind Technologies
Vijayangar (Near Maruthi Medicals), Bangalore-40
Ph: 8123668124 // 8123668066
Mail: logicmindtech@gmail.com

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Face recognition by exploiting local gabor

  • 1. Logic Mind Technologies Vijayangar (Near Maruthi Medicals), Bangalore-40 Ph: 8123668124 // 8123668066 Title: Face Recognition by Exploiting Local Gabor Features With Multitask Adaptive Sparse Representation Abstract—For a human face, the Gabor transform can extract its multiple scale and orientation features that are very useful for the recognition. In this paper, the Gabor-feature-based facerecognition is formulated as a multitask sparse representation model, in which the sparse coding of each Gabor feature is regarded as a task. To effectively exploit the complementary yet correlated information among different tasks, a flexiblerepresentation algorithm termed multitask adaptive sparse representation (MASR) is proposed. The MASR algorithm not only restricts Gabor features of one test sample to be jointlyrepresented by training atoms from the same class but also promotes the selected atoms for these features to be varied within each class, thus allowing better representation. In addition, to use the local information, we operate the MASR on local regions of Gabor features. Then, by considering the structural characteristics of the face and the effects of the external interferences, a structural–residual weighting strategy is proposed to adaptively fuse the decision of each region. Experiments on various datasets verify the effectiveness of the proposed method in dealing with face occlusion, corruption, small number of training samples, as well as variations of lighting and expression.
  • 2. Software & Hardware requirement: 1. Hardware requirement: 1. PC 2. RAM minimum 2GB 3. HDD minimum 100GB 2. Software requirement: 1. MATLAB 7.0 2. Signal processing toolbox 3. Image processing toolbox 4. Mathematical toolbox PROJECT FLOW: First Review: Literature Survey Paper Explanation Design of Project Project Enhancement explanation Second Review: Implementing 40% of Base Paper Third Review Implementing Remaining 60% of Base Paper with Future Enhancement (Modification) For More Details please contact Logic Mind Technologies Vijayangar (Near Maruthi Medicals), Bangalore-40 Ph: 8123668124 // 8123668066 Mail: logicmindtech@gmail.com