A document can be divided into zones on the basis of its content. For example, a zone can be either text or non-text. Given the segmented document zones, correctly determining the zone content type is very important for the subsequent processes within any document image understanding system. This paper describes an algorithm for the determination of zone type of a given zone within an input doc...

This paper describes an algorithm for the determination of zone content type of a given zone within a document image.We take a statistical based approach and represent each zone with 25 dimensional feature vectors. An optimized decision treeclassifier is used to classify each zone into one of nine zone content classes. A performance evaluation protocol is proposed.The training and t...

In this paper we present a method for segmentation of documents image with complex structure. This technique based on GLCM (Grey Level Co-occurrence Matrix) used to segment this type of document in three regions namely, 'graphics', 'background' and 'text'. Very briefly, this method is to divide the document image, in block size chosen after a series of tests and then applying the co-occurrence ...

When we develop a general purpose document image understanding system, it is important, as the first step, to distinguish individual documents. We propose an approach which first classifies document images into some distinct types and then interprets them exactly by using an appropriate document model. In this paper, we define groups of documents and describe the classification method based on ...

Title of dissertation: EFFICIENT MACHINE LEARNING METHODS FOR DOCUMENT IMAGE ANALYSIS Jayant Kumar, Doctor of Philosophy, 2013 Dissertation directed by: Professor Larry Davis Department of Computer Science Dr. David Doermann University of Maryland Institute for Advanced Computer Studies With the exponential growth in volume of multimedia content on the internet, there has been an increasing int...

classification of vegetation according to their species composition is one of the most important tasks in the application of remote sensing in precision agriculture. to prepare an algorithm for such a mandate, there is a need for ground truth. field operation is very costly and time consuming. therefore, some other method must be developed, such as extracting information from the satellite imag...

We give an analysis of relationships between expected retrieval performance and classification recognition accuracy in the context of document image content extraction and inventory. By content extraction we mean location and measurement of regions containing handwriting, machineprinted text, photographs, blank space, etc, in documents represented as bilevel, grey-level, or color images. Recent...

In this paper, an algorithm is developed for segmenting document images into four classes: background, photograph, text, and graph. Features used for classification are based on the distribution patterns of wavelet coefficients in high frequency bands. Two important attributes of the algorithm are its multiscale nature-it classifies an image at different resolutions adaptively, enabling accurat...