Touchscreen Swipe Based Biometric Authentication Using Spectral Regression - Kernel Discriminant Analysis

2021 ◽  
Author(s):  
Orhan Sivaz ◽  
Murat Aykut
Keyword(s):  
Discriminant Analysis ◽  
Biometric Authentication ◽  
Kernel Discriminant Analysis ◽  
Spectral Regression

A Robust and Scalable Visual Category and Action Recognition System Using Kernel Discriminant Analysis With Spectral Regression

2013 ◽  
Vol 15 (7) ◽  
pp. 1653-1664 ◽  
Author(s):  
Muhammad Atif Tahir ◽  
Fei Yan ◽  
Peter Koniusz ◽  
Muhammad Awais ◽  
Mark Barnard ◽  
...  
Keyword(s):  
Discriminant Analysis ◽  
Action Recognition ◽  
Recognition System ◽  
Kernel Discriminant Analysis ◽  
Spectral Regression

scholarly journals Classification of Error-Diffused Halftone Images Based on Spectral Regression Kernel Discriminant Analysis

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Zhigao Zeng ◽  
Zhiqiang Wen ◽  
Shengqiu Yi ◽  
Sanyou Zeng ◽  
Yanhui Zhu ◽  
...  
Keyword(s):  
Discriminant Analysis ◽  
Accuracy Rate ◽  
Kernel Discriminant Analysis ◽  
Image Patches ◽  
Classification Of Error ◽  
Added Benefit ◽  
Feature Dimension ◽  
Spectral Regression ◽  
Halftone Images

This paper proposes a novel algorithm to solve the challenging problem of classifying error-diffused halftone images. We firstly design the class feature matrices, after extracting the image patches according to their statistics characteristics, to classify the error-diffused halftone images. Then, the spectral regression kernel discriminant analysis is used for feature dimension reduction. The error-diffused halftone images are finally classified using an idea similar to the nearest centroids classifier. As demonstrated by the experimental results, our method is fast and can achieve a high classification accuracy rate with an added benefit of robustness in tackling noise.

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