seham_amer

د/ سهـــام عليـــو عامـــر

مدرس -

كلية الحاسبات والمعلومات

العنوان: سوهاج

9

إعجاب
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2016 | الكلمات المفتاحية Identification System,
Face Identification System in Video
Abstract: This paper provides a simple and efficient method to detect human faces in videos and recognize persons within the video according to a preset database of known persons. The proposed system consists of three main steps. The first step is skin-like regions detection in CIE-Luv color space. The second step is face detection based on skin-like regions, contour detection ... إقراء المزيد

2015 | الكلمات المفتاحية Human Face Detection in Video,
Human Face Detection in A Video Stream Using Luv Color Space
Abstract: The purpose of the proposed research work is to develop a human Face Detection system in A Video Stream Using Luv Color Space. إقراء المزيد

2015 | الكلمات المفتاحية Supporting E-learning Systems,
Efficient Method for Face Recognition and Its Role in Supporting E-learning Systems
ABSTRACT:ABSTRACT: In this paper, a new technique for face recognition is proposed. This technique has great degree of applications including identification, authentication, psychology, e-learning, security, marketing and human-computer interaction. The important role of the proposed technique with e-learning systems, it will identify users when they first log into a program, also will confirm whether they're the one taking the test. ... إقراء المزيد

2015 | الكلمات المفتاحية Face and skin detection,
An Efficient Scheme for Face Detection Based on Contours and Feature Skin Recognition
ABSTRACT: Human face detection is very useful in many applications such as communications, automatic access control systems, video browsing, security control, verification of credit cards, identifying criminals and so on. This work provides a simple and efficient technique to detect human faces in still images. The new method based on skin color, contour drawing and feature extraction. The features under ... إقراء المزيد

2014 | الكلمات المفتاحية Face recognition scheme,
A New Face Recognition Scheme for Faces with Expressions, Glasses and Rotation
Abstract: Face recognition is considered as one of the hottest research areas in computer vision field. The purpose of the proposed research work is to develop an algorithm that can recognize a person by comparing the characteristics of his/her face, which may have expressions, glasses and/or rotation, to those of known faces in a database. This work provides a simple ... إقراء المزيد

2013 | الكلمات المفتاحية Face recognition, Feature extraction,
A new Method for Face Recognition Using Variance Estimation and Feature Extraction
ABSTRACT Face recognition has been one of the most studied topics in the last decades. Its research has increased in many applications in communications and automatic access control systems. In this paper, a new face recognition method based on OpenCV face detection technique is introduced. The goal of the propose method is to detect faces that exist in the image ... إقراء المزيد

2011 | الكلمات المفتاحية Color image recognition,
Color Image Recognition Using Variance and Variance-Covariance Technique
ABSTRACT: In this paper a new simple and efficient algorithm for color image descriptor using variance covariance matrix and variance calculations is presented. The algorithm allows significant acceleration in the matching process. Experimental results are presented on image database. These results confirm the effectiveness of the proposed algorithm. إقراء المزيد

2010 | الكلمات المفتاحية Variance, Image Detection,
A Fast Image Detection Method Using Variance and Variance Covariance Matrix
ABSTRACT: In this paper a new simple efficient algorithm for image descriptor using variance covariance matrix and variance calculations is presented. Also an approach to use this descriptor for image recognition is described. The recognition proceeds by matching individual features to a database of features from known images using a fast nearest-neighbor algorithm. We apply the full search algorithm to ... إقراء المزيد

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