Performance enhancement of face recognition under high-density noise using PCA and De-noising technique
المؤلف
المصدر
Ibn al-Haitham Journal for Pure and Applied Science
العدد
المجلد 33، العدد 4 (31 ديسمبر/كانون الأول 2020)، ص ص. 148-158، 11ص.
الناشر
جامعة بغداد كلية التربية ابن الهيثم
تاريخ النشر
2020-12-31
دولة النشر
العراق
عدد الصفحات
11
التخصصات الرئيسية
الموضوعات
الملخص EN
There are many techniques for face recognition which compare the desired face image with a set of faces images stored in a database.
Most of these techniques fail if faces images are exposed to high-density noise.
Therefore, it is necessary to find a robust method to recognize the corrupted face image with a high density noise.
In this work, face recognition algorithm was suggested by using the combination of de-noising filter and PCA.
Many studies have shown that PCA has ability to solve the problem of noisy images and dimensionality reduction.
However, in cases where faces images are exposed to high noise, the work of PCA in removing noise is useless, therefore adding a strong filter will help to improve the performance of recognizing faces in the case of existing high-density noise in faces images.
In this paper, Median filter, Hybrid Median Filter, Adaptive Median filter, and Adaptive Weighted Mean Filter were used to remove the noise from the faces images, and they were compared in order to use the best of these filters as a pre-processing step before the face recognition process.
Experimental results showed that the Adaptive Weighted Mean Filter gave better results compared with the other filters.
Thus, the performance of face recognition process was improved under high-density noise using the Adaptive Weighted Mean Filter and Principal Component Analysis.
For the corrupted images by 90 % noise density, Recognition rate by using Median Filter reached 0% and 33% by using Hybrid Median Filter.
While Recognition rate by using the Adaptive Median Filter and Adaptive Weighted Mean Filter reached 100% .
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Habib, Nada Jasim. 2020. Performance enhancement of face recognition under high-density noise using PCA and De-noising technique. Ibn al-Haitham Journal for Pure and Applied Science،Vol. 33, no. 4, pp.148-158.
https://search.emarefa.net/detail/BIM-977529
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Habib, Nada Jasim. Performance enhancement of face recognition under high-density noise using PCA and De-noising technique. Ibn al-Haitham Journal for Pure and Applied Science Vol. 33, no. 4 (2020), pp.148-158.
https://search.emarefa.net/detail/BIM-977529
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Habib, Nada Jasim. Performance enhancement of face recognition under high-density noise using PCA and De-noising technique. Ibn al-Haitham Journal for Pure and Applied Science. 2020. Vol. 33, no. 4, pp.148-158.
https://search.emarefa.net/detail/BIM-977529
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 156-158
رقم السجل
BIM-977529
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر