Due to the rapid advancement of technology, volume online text data from numerous various disciplines is increasing significantly over time. Therefore, more work needed create systems that can effectively classify in accordance with its content, facilitating processing and extraction crucial information. Since these non-automated use manual feature classification, which error-prone time-consumi...

This paper discusses the use of the bayesian network model for a classification problem related to the document image understanding field. Our application is focused on logical labeling in documents, which consists in assigning logical labels to text blocks. The objective is to map a set of logical tags, composing the document logical structure, to the physical text components. We build a bayes...

Several features for Neural Network based document region identification are tested. Specifically, this paper examines features for non-text region identification. The Neural Network based region identification algorithm is a key component of a document recognition system that segments a document into regions, classifies them into text, graphic, photo, and other region types, and then uses this...

Digital cameras are becoming increasingly common for capturing information in business settings. In this paper, we describe a novel method for classifying images into the following semantic classes: document, whiteboard, business card, slide, and regular images. Our method is based on combining low-level image features, such as text color, layout, and handwriting features with high-level OCR ou...

detecting faces in cluttered backgrounds and real world has remained as an unsolved problem yet. in this paper, by using composition of some kind of independent features and one of the most common appearance based approaches, and multilayered perceptron (mlp) neural networks, not only some questions have been answered, but also the designed system achieved better performance rather than the pre...

p. 1 Exploring the Stability of IDF Term Weighting p. 10 Completely-Arbitrary Passage Retrieval in Language Modeling Approach p. 22 Semantic Discriminative Projections for Image Retrieval p. 34 Comparing Dissimilarity Measures for Content-Based Image Retrieval p. 44 A Semantic Content-Based Retrieval Method for Histopathology Images p. 51 Integrating Background Knowledge into RBF Networks for T...