Palmprint Recognition Using Sparse Representation of Variable Window-Width Real-Valued Gabor Feature

2017 ◽  
pp. 257-267
Author(s):  
Mengwen Li ◽  
Huabin Wang ◽  
Jian Zhou ◽  
Liang Tao
Keyword(s):  
Sparse Representation ◽  
Palmprint Recognition ◽  
Window Width ◽  
Variable Window ◽  
Gabor Feature

Bimodal biometric system for hand shape and palmprint recognition based on SIFT sparse representation

2016 ◽  
Vol 76 (20) ◽  
pp. 20457-20482 ◽  
Author(s):  
Nesrine Charfi ◽  
Hanene Trichili ◽  
Adel M. Alimi ◽  
Basel Solaiman
Keyword(s):  
Sparse Representation ◽  
Palmprint Recognition ◽  
Biometric System ◽  
Hand Shape

A Palmprint Recognition Based on Collaborative Representation

2013 ◽  
Vol 457-458 ◽  
pp. 1317-1322 ◽  
Author(s):  
Xiu Mei Guo ◽  
Lin Mei Wan ◽  
Cheng Yi Wang
Keyword(s):  
Pattern Recognition ◽  
Hong Kong ◽  
Sparse Representation ◽  
Recognition Performance ◽  
Least Square Method ◽  
Least Square ◽  
Collaborative Representation ◽  
Palmprint Recognition

As a recently proposed technique, sparse representation (SR) has been widely used for pattern recognition. Sparse representation emphasizes the coefficient sparsity and ignores the importance of the collaboration between classes. In this paper, collaborative representation is introduced for palmprint recognition, and the inter-class collaboration is employed to estimate the representation coefficient with regularized least square method. The algorithm based on collaborative representation was evaluated on the Hong Kong PolyU (v2) palmprint database and ideal recognition performance was achieved.

Acute Stroke: Improved Nonenhanced CT Detection—Benefits of Soft-Copy Interpretation by Using Variable Window Width and Center Level Settings

Radiology ◽  
1999 ◽  
Vol 213 (1) ◽  
pp. 150-155 ◽  
Author(s):  
Michael H. Lev ◽  
Jeffrey Farkas ◽  
Joseph J. Gemmete ◽  
Syeda T. Hossain ◽  
George J. Hunter ◽  
...  
Keyword(s):  
Acute Stroke ◽  
Window Width ◽  
Soft Copy ◽  
Variable Window
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