Research at the Computer Vision Laboratory at the University of Maryland has focussed on developing algorithms and systems that can look at humans and recognize their activities i...
Larry S. Davis, Vasanth Philomin, Ramani Duraiswam...
In this paper, the effect of the dimensionality of data sets on the exploitation of synergy among known nearest neighbor (NN) editing and condensing tools is analyzed using a synt...
In the context of graphics recognition, arc detection consists in the extraction of circles and arcs from the image of a graphics document or from the segments yielded by its vect...
In this paper we present a mixture density based approach to invariant image object recognition. We start our experiments using Gaussian mixture densities within a Bayesian classi...
Micromachined picoliter vials in silicon dioxide with a typical depth of 6.0?m are filled with a liquid sample. Epiilluminated microscopic imaging during evaporation of the liquid...
L. R. Van den Doel, Lucas J. van Vliet, K. T. Hjel...
Image segmentation of natural scenes constitutes a major problem in Machine Vision. This paper presents a new proposal for the image segmentation problem which has been based on t...
Color features are among the most important features used in image database retrieval, especially in cases where no additional semantic information is available. Due to its compac...
Handwritten words are usually slant or Italicized due to the mechanism of handwriting and the personality. In order to improve the accuracy of character segmentation and recogniti...
KPN Research has developed an all-purpose check recognition system for the Dutch Postbank. This Image Recognition and Interpretation System (IRIS) is the result of more than thirt...
We present a document-specific OCR system and apply it to a corpus of faxed business letters. Unsupervised classification of the segmented character bitmaps on each page, using a ...