An improved fractional two-dimensional principal component analysis for face recognition

المؤلف

al-Saqr, Falah

المصدر

Jordanian Journal of Computetrs and Information Technology

العدد

المجلد 8، العدد 1 (31 مارس/آذار 2022)، ص ص. 87-97، 11ص.

الناشر

جامعة الأميرة سمية للتكنولوجيا

تاريخ النشر

2022-03-31

دولة النشر

الأردن

عدد الصفحات

11

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

الملخص EN

Two-dimensional principal component analysis (2DPCA) is a subspace technique used for facial image representation and recognition.

Standard 2DPCA may be unable to extract informative features to adequately describe the inherent structural information of the original facial images with the presence of irrelevant variations, such as lighting conditions, facial expressions and so on.

to deal with this, an improved fractional two-dimensional principal component analysis (IF2DPCA) is proposed in this paper.

it is an extension of fractional 2DPCA (F2DPCA), which was developed based on the concept of fractional covariance matrix (FCM).

IF2DPCA employs the same principle as F2DPCA for learning a projective matrix, but further extends the use of fractional transformed 2D images throughout the entire recognition task.

As a result, the feature subspace modeled by IF2DPCA maintains the most informative content of the 2D face images and is relatively insensitive to irrelevant variations.

experimental results on three face datasets confirm the effectiveness of the suggested IF2DPCA method in facial recognition.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

al-Saqr, Falah. 2022. An improved fractional two-dimensional principal component analysis for face recognition. Jordanian Journal of Computetrs and Information Technology،Vol. 8, no. 1, pp.87-97.
https://search.emarefa.net/detail/BIM-1415844

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

al-Saqr, Falah. An improved fractional two-dimensional principal component analysis for face recognition. Jordanian Journal of Computetrs and Information Technology Vol. 8, no. 1 (Mar. 2022), pp.87-97.
https://search.emarefa.net/detail/BIM-1415844

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

al-Saqr, Falah. An improved fractional two-dimensional principal component analysis for face recognition. Jordanian Journal of Computetrs and Information Technology. 2022. Vol. 8, no. 1, pp.87-97.
https://search.emarefa.net/detail/BIM-1415844

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references : p. 96-97

رقم السجل

BIM-1415844