Mobile E-Based Search Engine by Image Mapping Using Binary Histogram Classification

• Main Author: Alkhatib, Deaa Eddin A.
• Format: Thesis
• Language: English; English
• Published: 2010
• Subjects: TK6570 Mobile Communication System.
• Online Access: http://etd.uum.edu.my/2190/1/Deaa_Eddin_A._Alkhatib.pdf; http://etd.uum.edu.my/2190/2/1.Deaa_Eddin_A._Alkhatib.pdf; http://etd.uum.edu.my/2190/; http://lintas.uum.edu.my:8080/elmu/index.jsp?module=webopac-l&action=fullDisplayRetriever.jsp&szMaterialNo=0000757663

Among the most popular in the World Wide Web are the sites that offer text-based search engines. Compared to text-based search engine, there are not many search engines that do image searching, face detection or image index searching. In this study, mobile-based search engine application by image mapping using binary histogram classification is proposed. This study will begin with the introduction section which will include a detailed explanation, definition on the history of text-based search engines. Next, the literature review and the methodology will be done. The final output of this project is a mobile-based image search engine prototype.