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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 and geometrical properties such...
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 consideration...
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...
This paper describes an efficient lifting based hybrid image coding (LB-HIC) scheme. The proposed scheme is based on using the lifting transform (LT) in conjunction with the discrete cosine transform (DCT) to provide coding performance superior to the popular image coders. The proposed method uses combination of the DCT coding and the high performance of the set partitioning in hierarchical tree (SPIHT)...
This paper introduces new two approaches for object extraction. The first one extracts the object in the image by separating the objects from the background. The second one extracts moving object in video sequences from the background. The approaches are based on background subtraction and edge information in the image. An initial spatial segmentation of the image is obtained by rainfalling watershed...
Image and video data compression has been found to be necessary to reduce the amount of data represents to meet a bit rate requirement of the up to date communication networks. This paper describes two efficient image and video coding schemes. On one hand an efficient object-based hybrid image coding (OB-HIC) scheme, and on the other hand an object-based hybrid video coding (OB-HVC) scheme. The proposed...
This paper addresses the issue of assessing the quality of the clusters found by fuzzy and hard clustering algorithms. In particular, it seeks an answer to the question on how well cluster validity indexes can automatically determine the appropriate number of clusters that represent the data. The paper surveys several key existing solutions for cluster validity in the domain of image segmentation...
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