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A survey of face recognition systems
المؤلفون المشاركون
Abd Allah, Ihab Amir
Stephan, Jane Jalil
المصدر
Ibn al-Haitham Journal for Pure and Applied Science
العدد
المجلد 34، العدد 2 (30 يونيو/حزيران 2021)، ص ص. 144-160، 17ص.
الناشر
جامعة بغداد كلية التربية ابن الهيثم
تاريخ النشر
2021-06-30
دولة النشر
العراق
عدد الصفحات
17
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الموضوعات
الملخص EN
With the quick grow of multimedia contents, from among this content, face recognition has got a lot of significant, specifically in latest little years.
The face as object formed of various recognition characteristics for detect; so, it is still the most challenge research domain for re-searchers in area of image processing and computer vision.
In this survey article, tried to solve the most demanding facial features like illuminations, aging, pose variation, partial occlusion and facial expression.
Therefore, it indispensable factors in the system of facial recognition when performed on facial pictures.
This paper study the most advanced facial detection tech-niques too, approaches: Hidden Markov Models, Principal Component Analysis (PCA), Elas-tic Cluster Plot Matching, Support Vector Machines (SVM), Gabor Waves, Artificial Neural Networks (ANN), Eigen Face, Independent Component Analysis (ICA) and 3D Morphable Model.
Additionally to the above works, mentioned various testing facial databases including JAFEE, FEI, Yale, LFW, AT&T(formerly termed as ORL) and AR (Aleix Martinez and Rob-ert Benavente) etc to analyze the results.
Even so, the goal of this survey is to present a com-prehensive literature review for the face recognition besides its applications after a deepness discussion, some of the experimental results was introduced in the With the quick grow of multimedia contents, from among this content, face recognition has got a lot of significant, specifically in latest little years.
The face as object formed of various recognition characteristics for detect; so, it is still the most challenge research domain for re-searchers in area of image processing and computer vision.
In this survey article, tried to solve the most demanding facial features like illuminations, aging, pose variation, partial occlusion and facial expression.
Therefore, it indispensable factors in the system of facial recognition when performed on facial pictures.
This paper study the most advanced facial detection tech-niques too, approaches: Hidden Markov Models, Principal Component Analysis (PCA), Elas-tic Cluster Plot Matching, Support Vector Machines (SVM), Gabor Waves, Artificial Neural Networks (ANN), Eigen Face, Independent Component Analysis (ICA) and 3D Morphable Model.
Additionally to the above works, mentioned various testing facial databases including JAFEE, FEI, Yale, LFW, AT&T(formerly termed as ORL) and AR (Aleix Martinez and Rob-ert Benavente) etc to analyze the results.
Even so, the goal of this survey is to present a com-prehensive literature review for the face recognition besides its applications after a deepness discussion, some of the experimental results was introduced in the end.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Abd Allah, Ihab Amir& Stephan, Jane Jalil. 2021. A survey of face recognition systems. Ibn al-Haitham Journal for Pure and Applied Science،Vol. 34, no. 2, pp.144-160.
https://search.emarefa.net/detail/BIM-1255703
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Abd Allah, Ihab Amir& Stephan, Jane Jalil. A survey of face recognition systems. Ibn al-Haitham Journal for Pure and Applied Science Vol. 34, no. 2 (2021), pp.144-160.
https://search.emarefa.net/detail/BIM-1255703
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Abd Allah, Ihab Amir& Stephan, Jane Jalil. A survey of face recognition systems. Ibn al-Haitham Journal for Pure and Applied Science. 2021. Vol. 34, no. 2, pp.144-160.
https://search.emarefa.net/detail/BIM-1255703
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 156-160
رقم السجل
BIM-1255703
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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