Skripsi

PENERAPAN METODE PCA(PRINCIPAL COMPONENT ANALYSIS) DAN EUCLIDEAN DISTANCE UNTUK PENGENALAN WAJAH BERKELOMPOK

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Penilaian

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The face is a unique part that every human individual has. For that face can be a reference to recognize someone. Maybe to recognize a person's face in small amounts can be said to be easy. However, it is difficult to recognize faces in large numbers and remember their names for a long time, given the limitations of each individual human being. The purpose of this study is to develop a group face recognition software. In this study group face recognition software uses the PCA method to extract features in face images and the Euclidean Distance method is used to measure the degree of similarity between two objects. The data used in this study amounted to 100 images, which are divided into 90 single face images as training data and 10 group face images as test data. The failure rate to slanted face of 8%. Group face recognition software using PCA and Euclidean Distance methods obtained an Accuracy result of 80%, a Precision of 100% and a Recall of 80%.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2007000862	T35319	T353192020	Central Library (References)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T353192020

Publisher

Inderalaya : Prodi Teknik Informatika, Fakultas Ilmu Komputer., 2020

Collation

xviii, L-1.1 hlm.; ilus.; tab.; 29 cm.

Language

Indonesia

ISBN/ISSN

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Classification

005.07

Content Type

Text

Media Type

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Carrier Type

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Edition

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Subject(s)

Prodi Teknik Informatika
Teknik Pengenalan Wajah

Specific Detail Info

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Statement of Responsibility

MI

Other version/related

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