A method for automatically evaluating the quality of document page segmentation algorithms is described. Page segmentation involves decomposing a page into its structural and logical units such as paragraphs, halftones, captions and tables. These units are then ordered and logically associated. These two steps are very important in a document recognition strategy. Many di erent techniques have ...

There is a significant need to objectively evaluate layout analysis (page segmentation and region classification) methods. This paper describes the Page Segmentation Competition (modus operandi, dataset and evaluation criteria) held in the context of ICDAR2003 and presents the results of the evaluation of the candidate methods. The main objective of the competition was to evaluate such methods ...

Page segmentation into text and non-text components is an essential preprocessing step before OCR operation. If this is not done properly, an OCR classification engine produces garbage text due to the presence of nontext components. This paper describes improvements to the text/image segmentation algorithm described by Bloomberg, which is also available in his open-source Leptonica library. The...

This paper describes fast and efficient method for page segmentation of document containing nonrectangular block. The segmentation is based on edge following algorithm using small window of 16 by 32 pixels. This segmentation is very fast since only border pixels of paragraph are used without scanning the whole page. Still, the segmentation may contain error if the space between them is smaller ...

Most page segmentation algorithms have userspecifiable free parameters. However, algorithm designers typically do not provide a quantitative/rigorous method for choosing values for these parameters. The free parameter values can affect the segmentation result quite drastically and are very dependent on the particular dataset that the algorithm is being used on. In this paper, we present an auto...

Document page segmentation is one of the most crucial steps in document image analysis. It ideally aims to explain the full structure of any document page, distinguishing text zones, graphics, photographs, halftones, figures, tables, etc. Although to date, there have been made several attempts of achieving correct page segmentation results, there are still many difficulties. The leader of the p...