Optical scan voting is considered by many to be the most trustworthy option for conducting elections because it provides an independently verifiable record of each voter’s inte...
Daniel P. Lopresti, George Nagy, Elisa H. Barney S...
This paper presents a new document image binarization technique that segments the text from badly degraded historical document images. The proposed technique makes use of the imag...
Detecting tables in a spreadsheet is the first step needed to make spreadsheet documents accessible to individuals with visual disabilities. Techniques to enable aural presentati...
In this article, a system to detect the rooms in architectural floor plan images is described. We first present a primitive extraction algorithm for line detection. It is based ...
Patent document images maintained by the U.S. patent database have a specific format, in which figures and text descriptions are separated into different sections. This makes it...
This paper presents a novel approach to the on-line signature verification using local shape Analysis. First, segment the input signature into several segments using HMM (Hidden M...
This paper investigates the application of a probabilistic parser for natural language on the list of the Nbest sentences produced by an off-line recognition system for cursive h...
This paper proposes a new hybrid handwritten signature verification system where the on-line reference data acquired through a digitizing tablet serves as the basis for the segmen...
In this paper we present a new postal envelope segmentation method based on 2-D histogram clustering and watershed transform. Segmentation task consists in detecting the modes ass...
Skewscope is a software module designed to detect and analyze skew information of textual document images. Its skew detection algorithm, which is the major topic of this paper, di...