In this paper we present an image mosaicing method for camera-captured document images. Our method is unique in not restricting the camera position, thus allowing greater flexibility than scanner-based or fixed-camera-based approaches. To accommodate for the perspective distortions introduced by varying poses, we implement a two-step image registration process that relies on accurately computin...

A system for selecting excerpts directly from imaged text without performing optical character recognition is described. The images are segmented to find text regions, text lines and words, and sentence and paragraph boundaries are identified. A set of word equivalence classes is computed based on the rank blur hit-miss transform. This information is used to identify stop words and keywords. Se...

Successful information retrieval requires effective matching between the user’s search request and the contents of relevant documents. Often the request entered by a user may not use the same topic relevant terms as the authors’ of the documents. One potential approach to address problems of query-document term mismatch is document expansion to include additional topically relevant indexing ter...

As the most pervasive method of individual identification 4 4 and document authentication, signatures present convincing evidence 5 5 and provide an important form of indexing for effective document image 6 6 search and retrieval in a wide range of applications. In this work, we 7 7 developed a fully automatic signature-based document image retrieval 8 8 system that handles: 1) Automatic detect...

Maintaining a document in image form is often preferable in order to avoid the high cost of manual conversion or the introduction of large numbers of errors by automatic OCR and/or graphics interpretation. The large volume of data in the image can be greatly reduced by using compression techniques. Text-intensive document images typically have a great deal of redundancy in the bitmap representa...

Forms are used extensively as input to many information management systems. An automatic way of processing a form should be preferred over the traditional methods due to high volume and numerous kinds of form documents. A system that minimizes operator error, cost and user interaction has to be developed. This paper proposes a system for automatically parsing form documents that have textual an...

If current OCR engineering trends continue, then, we believe, \general{purpose" systems | that is, fully automatic and nonretargetable systems | will leave many potential users unsat-issed, and lucrative application niches unnlled, for years to come. However, for users who care enough to volunteer some manual eeort | to help customize the system to their document(s) | signiicantly higher accura...

Image binarization is a diicult task for documents with text over textured or shaded backgrounds, poor contrast, and/or considerable noise. Current optical character recognition (OCR) and document analysis technology do not handle such documents well. We have developed a simple yet eeective algorithm for document image clean-up and binarization. The algorithm consists of two basic steps. In the...

Segmentation of the text from badly degraded document images is very challenging tasks due to the high inter/intra variation between the document background and the foreground text of different types of document images. In this paper, a novel document image binarization technique is used to addresses the issues in the degraded document images by using adaptive image contrast. The adaptive image...

Document Image Analysis recognizes text and graphics in documents acquired as images. An approach without Optical Character Recognition (OCR) for degraded document image analysis has been adopted in this paper. The technique involves document imaging methods such as Image Fusing and Speeded Up Robust Features (SURF) Detection to identify and extract the degraded regions from a set of document i...