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Features extraction using thermal face image recognition
العناوين الأخرى
استخراج الخصائص باستخدام التعرف على الصورة الحرارية للوجه
مقدم أطروحة جامعية
مشرف أطروحة جامعية
أعضاء اللجنة
Riadh, Mayy Haikil
Kanan, Ghassan
الجامعة
جامعة عمان العربية
الكلية
كلية العلوم الحاسوبية و المعلوماتية
القسم الأكاديمي
قسم علم الحاسوب
دولة الجامعة
الأردن
الدرجة العلمية
ماجستير
تاريخ الدرجة العلمية
2014
الملخص الإنجليزي
Face recognition, using thermal images, has become an area of growing interest due to the increased demand of security applications in many organizations such as airports, banks …etc.
Thermal face recognition is a robust system that is employed under all lighting conditions including total darkness also if the person is wearing a disguise, fake nose or make-up.
The main problem in thermal face recognition is how to extract the features that distinguish one person from another.
In this work, a model is proposed for the extraction of physiological features to identify the person based under different expressions and illuminations.
The model is comprised of four logically sequential stages aimed at verifying the results then their analysis.
In the processing of this model, IRIS (Imaging Robotics and Intelligent System) database is used.
First, many enhancement filters are used in the pre-processing module to enhance the images, morphological operations and noise removing filters are presented.
Secondly, blob detection is employed in the detection module to detect the features blobs regions.
These blobs represent the region of eyes, mouth, and nose.
In the third stage of the features extraction module, a set of geometrical features such as distances, slopes, and center points between the extracted blobs are computed.
In the fourth stage of the classification module, the proposed model is employed.
Good results of features extraction and image classification are obtained.
The results of the proposed model during the experimental treatment of different individuals and number of images varied between 55% and 85%.
From the analysis of results, the relative variation for some images is attributed to the poor quality of images used in the experimental treatment.
Finally, the thesis presents some conclusions and suggestions for future work to develop the proposed model further
التخصصات الرئيسية
الموضوعات
عدد الصفحات
81
قائمة المحتويات
Table of contents.
Abstract.
Abstract in Arabic.
Chapter One : Introduction.
Chapter Two : Literature study.
Chapter Three : Implementation of the proposed model.
Chapter Four : Conclusions and future work.
References.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Shnasi, Thura Muataz. (2014). Features extraction using thermal face image recognition. (Master's theses Theses and Dissertations Master). Amman Arab University, Jordan
https://search.emarefa.net/detail/BIM-561846
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Shnasi, Thura Muataz. Features extraction using thermal face image recognition. (Master's theses Theses and Dissertations Master). Amman Arab University. (2014).
https://search.emarefa.net/detail/BIM-561846
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Shnasi, Thura Muataz. (2014). Features extraction using thermal face image recognition. (Master's theses Theses and Dissertations Master). Amman Arab University, Jordan
https://search.emarefa.net/detail/BIM-561846
لغة النص
الإنجليزية
نوع البيانات
رسائل جامعية
رقم السجل
BIM-561846
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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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
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