PERBAIKAN KUALITAS CITRA UNTUK PENGENALAN WAJAH MENGGUNAKAN CONTRAST STRETCHING

NICA, HARTUTI and Erwin, Erwin (2019) PERBAIKAN KUALITAS CITRA UNTUK PENGENALAN WAJAH MENGGUNAKAN CONTRAST STRETCHING. Undergraduate thesis, Sriwijaya University.

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Abstract

This research explains the image quality improvement for face recognition using contrast stretching based on the method of principal component analysis (PCA) for face recognition and contrast stretching to repair facial image quality. Method of principal component analysis (PCA) in this study aims to calculate the mean value, the difference between the training image by the mean, covariance matrix, eigenvalue, eigenvector, eigenface, and principal component analysis (PCA). The design of the application for image quality enhancement is done based on the contrast stretching method by looking at the conditions of facial recognition that the lighting is uneven. Results level of accuracy in this final 95% successful for facial recognition looks ahead at rest

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Contrast Stretching, Face Recognition, Principal Component Analysis (PCA)
Subjects:	Q Science > QA Mathematics > QA75-76.95 Calculating machines > QA75 Electronic computers. Computer science
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Users 1140 not found.
Date Deposited:	08 Aug 2019 06:15
Last Modified:	08 Aug 2019 06:15
URI:	http://repository.unsri.ac.id/id/eprint/3036

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