Computing feature matrices using PCA-SVD hybrid method on small-scale systems

Computing feature matrices using PCA-SVD hybrid method on small-scale systems

The task of performing feature extraction from input matrices is a well-known problem in biometric recognition. This paper aims to develop an effective method for reduction and decomposition on large matrices with low required computational resources and fast processing times. Our contribution is to...

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Bibliographic Details
Main Authors: Le Tien Hung, Vu Minh Trong, Phan Viet Thanh, Nguyen Le Van
Format: Article
Language:English
Published: The University of Danang 2024-12-01
Series:Tạp chí Khoa học và Công nghệ
Subjects:
feature extraction
biometric recognition
pca
svd
eigenvalue
raspberry pi
Online Access:https://jst-ud.vn/jst-ud/article/view/9205
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