IEEE - Institute of Electrical and Electronics Engineers, Inc. - Fast HMM-Filler Approach for Key Word Spotting in Handwritten Documents

2013 12th International Conference on Document Analysis and Recognition (ICDAR)

Author(s): Alejandro Hector Toselli ; Enrique Vidal
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 August 2013
Conference Location: Washington, DC, USA
Conference Date: 25 August 2013
Page(s): 501 - 505
ISBN (Electronic): 978-0-7695-4999-6
ISSN (Paper): 1520-5363
DOI: 10.1109/ICDAR.2013.106
Regular:

The so-called filler or garbage Hidden Markov Models (HMM) are among the most widely used models for lexicon-free, query by string key word spotting in the fields of speech recognition and... View More

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