We address the problem of content-based image retrieval in the context of complex document images. Complex document are documents that typically start out on paper and are then electronically scanned. These documents have rich internal structure and might only be available in image form. Additionally, they may have been produced by a combination of printing technologies (or by handwriting); and...

Dewarping of documents captured with hand-held cameras in an uncontrolled environment has triggered a lot of interest in the scientific community over the last few years and many approaches have been proposed. However, there has been no comparative evaluation of different dewarping techniques so far. In an attempt to fill this gap, we have organized a page dewarping contest along with CBDAR 200...

If it is impossible to capture all the image in one scan with the available equipment, a montage can be made from separately scanned pieces. We describe an automatic mosaicing process for document images. The image shifts are found by a correlation technique, using an image pyramid and sequential similarity to reduce computation time. Image placement and overlap is used to reject incorrect solu...

Document image sweetening is to focus on the texts, handwritten characters and images in the Document. Problem with most of the document image analysis system is images with low contrast not able to produced optimal results. In this paper, a steerable filters based fuzzy unsharp masking algorithmic rule is given to improve the contrast of the document image. In this method we introduce the fuzz...

In the last few years, Digital Libraries became one important application area for Document Image Analysis and Recognition research [1]. In this field, a relevant line of research is Document Image Retrieval (DIR) that aims at finding relevant documents relying on image features only. DIR techniques are used to index not only the textual content of a document, but also its layout, graphical obj...

Curled textlines segmentation is a necessary initial step for the hand-held camera-captured document image processing. Curled textlines information is often used as an intermediate step for camera-captured document image dewarping. Curled textlines information can also be used for other camera-based document image processing tasks, like layout analysis etc. So far no work has been done for the ...

Document image understanding denotes the recognition of semantically relevant components in the layout extracted from a document image. This recognition process is based on some visual models that can be automatically acquired by applying machine learning techniques. In particular, by properly encapsulating knowledge of the inherent spatial nature of the layout of a document image, spatial rela...

Document segmentation is a method of rending the document into distinct regions. A document is an assortment of information and a standard mode of conveying information to others. Pursuance of data from documents involves ton of human effort, time intense and might severely prohibit the usage of data systems. So, automatic information pursuance from the document has become a big issue. It is be...

Nowadays, Digital Libraries have become a widely used service to store and share both digital born documents and digital versions of works stored by traditional libraries. Document images are intrinsically non-structured and the structure and semantic of the digitized documents is in most part lost during the conversion. Several techniques related to the Document Image Analysis research area ha...

A system is presented that uses texture to retrieve and browse images stored in a large document image database. A method of graphically generating a candidate search image is used that shows the visual layout and content of a target document. All images similar to this candidate are returned for the purpose of browsing orfurther query. The system is accessed using a World wide Web (Web) browse...