Detecting beef and pork adulteration using principal component analysis

Detecting beef and pork adulteration using principal component analysis

Principal Component Analysis (PCA) is proposed for the automatic detection of beef and pork adulteration images in this paper. The method is used for the feature extraction phase. Two database resources are used in the research. They are Kaggle database to obtain the beef and pork images and previou...

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Bibliographic Details
Main Authors: Siti, Nur Avivah, Ku Muhammad Naim, Ku Khalif, Noryanti, Muhammad
Format: Conference or Workshop Item
Language:English
Published: 2022
Subjects:
Q Science (General)
QA Mathematics
Online Access:http://umpir.ump.edu.my/id/eprint/37031/
http://umpir.ump.edu.my/id/eprint/37031/1/Detecting%20beef%20and%20pork%20adulteration%20using%20principal%20component%20analysis.pdf

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