Document Image Binarization converts a gray-scale document image into binary document image .It is usually performed in the pre-processing stage of document image analysis and it aims to segment the foreground text from the document background. Segmentation of foreground text from the document background is a difficult task in the case of degraded document images. In this paper we propose a sim...

Several techniques for document image matching developed at the Ricoh California Research Center are presented. These methods are given a document image as input and locate visually similar or identical copies of the same image in a large database.

The analysis of document images is a difficult and ill-defined task. Unlike the graphics operation of rendering a document into a pixmap, using a structured page-level description such as pdf, the analysis problem starts with the pixmap and attempts to generate a structured description. This description is hierarchical, and typically consists of two interleaved trees, one giving the physical la...

We report an investigation into strategies, algorithms, and software tools for document image content extraction and inventory, that is, the location and measurement of regions containing handwriting, machine-printed text, photographs, blank space, etc. We have developed automatically trainable methods, adaptable to many kinds of documents represented as bilevel, greylevel, or color images, tha...

Documents Image Binarization is performed in the preprocessing stage for document analysis and it aims to segment the foreground text from the document background. A fast and accurate document image binarization technique is important for the ensuing document image processing tasks such as optical character recognition (OCR). Though document image binarization has been studied for many years, t...

Poor quality documents are obtained in various situations such as historical document collections, legal archives, security investigations, and documents found in clandestine locations. Such documents are often scanned for automated analysis, further processing, and archiving. Due to the nature of such documents, degraded document images are often hard to read, have low contrast, and are corrup...

Principal stage of the document image analysis procedure is the binarization, according to which the pixels are classified into text and background. It is a crucial stage that can affect further stages including the final character recognition stage. This thesis is focused on document image binarization, including both binarization techniques and evaluation methodologies. Specifically, accordin...

A new method is presented for adaptive document image binarization, where the page is considered as a collection of subcomponents such as text, background and picture. The problems caused by noise, illumination and many source type-related degradations are addressed. Two new algorithms are applied to determine a local threshold for each pixel. The performance evaluation of the algorithm utilize...