We present a hierarchical approach for extracting homogeneous regions in on-line documents. The problem of identifying and processing ruled and unruled tables, text and drawings is addressed. The on-line document is first segmented into regions with only text strokes 1 and regions with both text and non-text strokes. The text region is further classified as unruled table or plain text. Stroke c...

The mounting escalation of multimedia content in information indexing and retrieval has made a high venture for extracting the text from videos. In this paper a new approach has been made using Stroke Width Transform (SWT) with intuitionistic fuzzy set theory for detecting text from images. The proposed methodology uses a fuzzy based edge detection method instead of the conventional edge detect...

Text detection from videos is a well known research area. Especially the detection of static superimposed text such as captions has been researched successfully, but makes many assumptions that question the applicability of those algorithms for moving scene text. In this dissertation, I propose a scene text area detection approach that includes a simple key frame extraction, feature extraction,...

A system for writer identification based on handwritten text lines is described in this paper. The system uses Hidden Markov Model based recognizers which are designed for text line recognition. Features are extracted from a text line and used to train the recognizers. Prior to feature extraction, normalization operations are applied to a text line. On the one hand, there exists a strong correl...

An effective approach to transcribe old text documents is to follow an interactive-predictive paradigm in which both, the system is guided by the human supervisor, and the supervisor is assisted by the system to complete the transcription task as efficiently as possible. In this paper, we focus on a particular system prototype called GIDOC, which can be seen as a first attempt to provide user-f...

Title of dissertation: HANDWRITING IDENTIFICATION, MATCHING, AND INDEXING IN NOISY DOCUMENT IMAGES Yefeng Zheng, Doctor of Philosophy, 2005 Dissertation directed by: Professor Rama Chellappa Department of Electrical and Computer Engineering Throughout history, handwriting has been the primary means of recording information that is persevered across both time and space. With the coming of the el...