In this paper, we propose a method of text retrieval from document images using a similarity measure based on an N-Gram algorithm. We directly extract image features instead of using optical character recognition. Character image objects are extracted from document images based on connected components first and then an unsupervised classifier is used to classify these objects. All objects are e...

Document image understanding is a task to generate the structured description about contents of a document. In this paper, we propose a new method of document image understanding which employs the domain specific knowledge base called document model. Document model is structural representation of constraints on the layout structure as well as the logical structure of a target document. Since th...

The warp problems usually make the documents being hardly recognized. Specifically, when we copy a page of a thick book or bound document by digital photocopier, the resulted image is usually warped because of the thickness of the document. We focus on this problem and propose a fast method to restore the warped document image in this paper. The text rectangle area of the document is one of the...

In this paper, we present a phase-based binarization model for degraded document images, also a post processing method that can improve any binarization method and a ground truth generation tool. Usually, many binarization techniques are implemented in the literature for different types of binarization problems. It include an adaptive image contrast based document image binarization technique t...

In this paper, skew estimation and correction method for document image has been presented. Image of text document can be acquired via camera or other type of machines which cause sometime a skew angle (alignment) on its horizontal direction. To find skew angle of document image, the Radon transform method is used here. The skew angle used in database within the range of ±90o w.r.t x-axis. Kew ...

The document binarization of the degraded document is a challenging task due to variation in background and foreground. In recent years degraded documentation is active research topic. In this paper, the approach for segmentation of text from the degraded document images is presented by using adaptive image contrast. It is a combination of local image contrast and gradient. The performance of t...

Automatic segmentation of foreground text from the background in degraded document images is very much essential for the smooth reading of the document content and recognition tasks by machine. In this paper, we present a novel approach to the binarization of degraded document images. The proposed method uses a new local contrast feature extracted based on the stroke width of text. First, a pre...

Digital publishing workflows usually have the need for composition and balance within the document, where certain photographs will have to be chosen according to the overall layout of the document it is going to be placed in. i.e., the composition within the photograph will have a relationship/balance with the rest of the document layout. This paper presents a novel image retrieval method, in w...

Document Image Retrieval! !! G. Pirlo , M. Chimienti, M. Dassisti, D. Impedovo, A. Galiano !!!!!!! Abstract. This paper presents new system for document image retrieval, based on layout-analysis. The system, that is well suited for commercial form retrieval, uses Radon Transform for layout description and Dynamic Time Warping for document image matching. The experimental results, that were cond...

This paper presents a selective local thresholding method of a camera based document image for applying character segmentation. It is very difficult to binarize a camera based document image due to inconsistent lighting condition. It makes difficulties of character extraction and recognition. A selective local thresholding method in character region can reduce illumination effect and extract pr...