Machine-printed OCR: Extracting curvature features from characters [],  binary tree based OCR [], multi-classifier OCR [], Neural Network, SVM  & KNN classifiers for typewritten OCR [], text line position determination [], segmentation, recognition and article tracking for old newspapers [], distinction between handwritten and machine-printed text [], Segmentation of historical machine-printed documents [].

Handwritten OCR: Handwritten character representation, segmentation-free OCR [], feature extraction based on the skeletonized character body, topological description of the character skeleton for old Greek handwritten manuscript recognition [], recognition of isolated Handwritten Greek characters [], cursive handwritten word recognition [], text line detection in handwritten documents [], database of Greek handwritten characters [], handwritten character recognition through two-stage foreground sub-sampling [].

Word spotting: A survey of document image word spotting techniques [], keyword search in historical typewritten documents, word retrieval optimized by user's feedback [],  segmentation-free word spotting [], a word spotting framework for historical machine-printed documents [].

Page Segmentation: Automatic extraction of the main document image components (text, titles, images, captions, graphics, lines, special symbols) [], segmentation area location using isothetic polygons [], newspaper page segmentation into specific items (main titles, head-lines, over-titles, sub-titles, references), article identification and reconstruction [], combining complementary techniques for document image segmentation [].

Line and Table Detection: Automatic table detection in document images, morphological operations in order to connect line breaks and to enhance line segments, horizontal and vertical line detection, image/text areas removal, detection of line intersections, table reconstruction. []

Camera Based Document Analysis & Recognition: Text detection in indoor/outdoor scene images and video frames, efficient binarization and enhancement of camera images, connected component analysis in order to detect text regions, help camera images to be successfully processed and recognized by commercial OCR engines, text detection in video images. [ ]

Text Identification in Web images: Web image processing for text area identification, prepare Web images for OCR procedure with best results, conditional dilation technique in order to detect text and inverted text areas, process Web images of low resolution, consisting mainly of graphic objects and having the anti-aliasing property.  [ ]