A new approach for real time face recognition system using a modified eigenfaces with edge tracking

العناوين الأخرى

نهج جديد للتعرف على الوجوه في الوقت الحقيقي بواسطة (Eigenfaces)‎ المعدلة و تتبع الحافه

مقدم أطروحة جامعية

Maraqah, Randah Muhammad Sharif

مشرف أطروحة جامعية

Tamimi, Abd al-Fattah Arif

أعضاء اللجنة

Abu Jassar, Radwan
Hirz Allah, Nail B.

الجامعة

جامعة الشرق الأوسط

الكلية

كلية تكنولوجيا المعلومات

القسم الأكاديمي

قسم نظم المعلومات الحاسوبية

دولة الجامعة

الأردن

الدرجة العلمية

ماجستير

تاريخ الدرجة العلمية

2014

الملخص الإنجليزي

This thesis presents Real-time Face Recognition using modified Eigenfaces technique and color segmentation with Edge tracking for face detection.

Eigenfaces is a fast and simple method for face recognition which is considered as a remarkable feature for eigenfaces, but the face recognition accuracy drops severely when head position changes which needs to feed the training set with large number of face images in different head position.

Proposed approach in this thesis intent to implement eigenfaces technique with skin color segmentation and Hough transforms edge detection and tracking to enhance the results of face recognition in different head position, face profile and head scale.

This will be implemented with a data set that have only three images for each individual, images will have unconstrained background for different environments for any given image to find the face and recognize the person in the image, where unconstrained background increase the complexity of the detection and recognition process, that requires these condition must be solved for real time implementation.

Results have been showed that increasing of both number of training images and the number of individuals in the sub-set group (found that) was three training images per each, and three individuals for each sub-set group which is found as the optimal choice training for this approach.

Comparison with standard dataset of faces has been done for verifying proposed work assumption; results were fair and approving for developed work.

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

عدد الصفحات

107

قائمة المحتويات

• APA
• MLA
• AMA

لغة النص

الإنجليزية

نوع البيانات

رسائل جامعية

رقم السجل

BIM-694274