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Natural language processing / Information science / Artificial intelligence applications / Automatic identification and data capture / Machine learning / Language model / N-gram / Handwriting recognition / Speech recognition / Science / Artificial intelligence / Computational linguistics


Holistic Word Recognition for Handwritten Historical Documents Victor Lavrenko, Toni M. Rath and R. Manmatha∗ [lavrenko, trath, manmatha]@cs.umass.edu Center for Intelligent Information Retrieval University of Massachu
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Document Date: 2004-04-29 11:03:52


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File Size: 1,22 MB

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City

Madison / Reading / Pisa / Colchester / Winchester / Edinburgh / Paris / /

Company

Handwritten Text Recognition Systems / /

Country

France / Italy / United Kingdom / Scotland / /

Facility

Library of Congress / camp Alexandria December / Intelligent Information Retrieval University of Massachusetts Amherst Amherst / C. Weir / /

IndustryTerm

multi-writer recognition systems / automatic check processing / attractive and more straightforward solution / online handwriting recognition case / recognition systems / /

MarketIndex

set 20 / /

Organization

Intelligent Information Retrieval University of Massachusetts Amherst Amherst / Congress / National Science Foundation / Center for Intelligent Information Retrieval / Pattern Recognition and Artifical Intelligence / Pattern Analysis and Machine Intelligence / /

Person

Peter Bacon / R. Manmatha / Toni M. Rath / Victor Lavrenko / T. M. Rath / George Washington / G. Kim / V / John Mercer / Thomas Jefferson / /

Position

author / Captain / Hidden Markov Model for capturing the handwriting process / writer / single-author / target author / representative / given author / head / /

Product

Viterbi / /

ProvinceOrState

Wisconsin / Massachusetts / /

Technology

speech recognition / OCR / Viterbi Algorithm / ASCII / optical character recognition / /

SocialTag