PATTERN RECOGNITION FROM FACE IMAGES

Tolga ENSARİ

Makale detayları

PATTERN RECOGNITION FROM FACE IMAGES

Yazarlar:

Tolga ENSARİ

Yayıncı:

Millî Savunma Üniversitesi

Ana Başlıklar:

Uygulamalı fizik

Dergi:

Journal of Naval Sciences and Engineering 2017 Vol.13 Issue 2, pp.14-20

Belge Tipi:

Makale

Yayın Tarihi:

11/2017

Belge Dili:

İngilizce

Document ID (Org No.):

2000489157

Sıklık:

İki Yıllık

pISSN:

1304-2025

Özet:

 


In this article, we use projected gradient descent
nonnegative matrix factorization (NMF-PGD) method and make pattern recognition
analysis on ORL face data set. Face recognition is one of the critical issues
in our life and some security, daily activities and operations use this well
known application area. NMF-PGD is a type of nonnegative matrix factorization
(NMF) which defined in the literature. In the study, derived NMF-PGD definition
and algorithm has been used in order to classify the ORL face images. We give
the experimental results in a table and graph. According to experiments, face
recognition accuracy rates have different accuracy values because of the k -
lower rank value. We change k-values between 25 and 144 to see the performance
of NMF-PGD. At the end, we make some analysis and comments on the recognition
rates. Additionally, NMF-PGD can also be used for different kind of pattern
recognition problems.

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Makale detayları

PATTERN RECOGNITION FROM FACE IMAGES

Yazarlar: Tolga ENSARİ

Yayıncı: Millî Savunma Üniversitesi

Ana Başlıklar: Uygulamalı fizik

Dergi: Journal of Naval Sciences and Engineering 2017 Vol.13 Issue 2, pp.14-20

Belge Tipi: Makale

Yayın Tarihi: 11/2017

Belge Dili: İngilizce

Document ID (Org No.): 2000489157

Sıklık: İki Yıllık

pISSN: 1304-2025

Sayı

Yazarlar:

Tolga ENSARİ

Yayıncı:

Millî Savunma Üniversitesi

Ana Başlıklar:

Uygulamalı fizik

Dergi:

Journal of Naval Sciences and Engineering 2017 Vol.13 Issue 2, pp.14-20

Belge Tipi:

Makale

Yayın Tarihi:

11/2017

Belge Dili:

İngilizce

Document ID (Org No.):

2000489157

Sıklık:

İki Yıllık

pISSN:

1304-2025