M.Sc.

 With the explosive growth of the amount of content on the Internet,it has become increasingly difficult for users to find and utilize information and for content providers to classify and catalog documents.Traditional web search engines often return hundreds or thousands of results for a search, which is time consuming for users to browse therefore the searching Web pages similarity is using.The proposed system (Web Pages Fuzzy Similarity) consists of two phases: Off-line and On-line phases.

Pattern recognition is an essential part of any high-level image analysis systems.Arabic language has four forms for each letter depending on the position of the letter in each word. These are initial, medial, final and isolated.

Content-based image retrieval has been an active area of research over last decade. The goal is to create systems capable of interactively retrieving images that are semantically related to the user's query from a database. In this research, a content-based image retrieval system is presented, it supports querying by example to retrieve images from the images database according to their color and textural low level features.The underlying techniques are based on the adoption of histograms of YUV, YIQ, YCbCr, HSV and HSI color models as color features.