ד'ר ראיד סעאבנה Historical Document Image Analyzing of Arabic manuscripts and Script Recognition Document image analysis (DIA) refers to the process of converting a raster image of a document pages (a matrix of pixels) to a symbolic form consisting of textual (characters, digits, punctuation, words) and graphical (lines, geometric shapes, etc.) objects. Document descriptions in terms of these higher-level objects are significantly more compact than their image counterparts. More importantly, the rich semantic content of such descriptions makes it possible to manipulate these documents to serve a variety of uses such as searching them for specific patterns or classifying and combining them according to some criteria. Most DIA systems consist of, Image Enhancement, Binarization, Page layout analysis and segmentation, Prepossessing, Feature extraction, Classification, Clustering and Post processing. In this talk I will give a brief introduction to the field of HDIA and the Arabic script and some DIA related fields we are researching, followed by results we have on: 1) Language independent line extraction using seam carving technique and 2) spotting Arabic words in historical documents using Dynamic Time Warping and Chamfer distance.