PENGENALAN WAJAH MENGGUNAKAN METODE BIOMIMETIC PATTERN RECOGNITION

MADANNY, SHAFFAN and Samsuryadi, Samsuryadi and Yuliani, Novi (2019) PENGENALAN WAJAH MENGGUNAKAN METODE BIOMIMETIC PATTERN RECOGNITION. Undergraduate thesis, Sriwijaya University.

[img] Text
RAMA_55201_09121002041.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (5MB) | Request a copy
[img]
Preview
Text
RAMA_55201_09121002041_0004027101_0008118205_01_FRONT_REF.pdf - Accepted Version
Available under License Creative Commons Public Domain Dedication.

Download (1MB) | Preview
[img] Text
RAMA_55201_09121002041_0004027101_0008118205_02.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (568kB) | Request a copy
[img] Text
RAMA_55201_09121002041_0004027101_0008118205_03.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (346kB) | Request a copy
[img] Text
RAMA_55201_09121002041_0004027101_0008118205_04.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (3MB) | Request a copy
[img] Text
RAMA_55201_09121002041_0004027101_0008118205_05.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (577kB) | Request a copy
[img] Text
RAMA_55201_09121002041_0004027101_0008118205_06.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (178kB) | Request a copy
[img] Text
RAMA_55201_09121002041_0004027101_0008118205_07_REF.pdf - Bibliography
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (203kB) | Request a copy
[img] Text
RAMA_55201_09121002041_0004027101_0008118205_08_LAMP.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (608kB) | Request a copy
[img] Text
RAMA_55201_09121002041_0008118205_TURNITIN.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (14MB) | Request a copy

Abstract

Biometric authentication systems are widely used in various ways. One of the most used biometric systems is the face. Face recognition is divided into three processes, namely pre-processing, feature extraction, and classification. This paper combines the Linear Discriminant Analysis (LDA) method as feature extraction because it is resistant to changing image conditions and Hyper Sausage Neuron Network (HSNN) as a classification because able to overcome high false acceptance problems on traditional pattern recognition. The purpose of this paper is to produce a face recognition architecture using LDA-HSNN, produce face recognition software using LDA-HSNN, and know the accuracy of LDA-HSNN for face recognition. This study uses secondary data from the face94 database and has a JPEG format. This study was tested using many different training image data, parameter α and 684 image samples of test data. Based on the results of the study, it was concluded that the combination of the LDA and HSNN methods was able to recognize faces with an accuracy of 92.69%.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: pra-pengolahan, ekstraksi ciri, klasifikasi, high false acceptance, Linear Discriminant Analysis (LDA), Hyper Sausage Neuron Network (HSNN).
Subjects: T Technology > T Technology (General) > T58.5-58.64 Information technology
Divisions: 09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User: Shaffan Madanny
Date Deposited: 20 Sep 2019 02:12
Last Modified: 20 Sep 2019 02:12
URI: http://repository.unsri.ac.id/id/eprint/8085

Actions (login required)

View Item View Item