Combining Neural Networks to Improve Performance of Handwritten Keyword Spotting-Reference-Cited by-同舟云学术

Combining Neural Networks to Improve Performance of Handwritten Keyword Spotting

Published:2010 Issue: Volume: Page:215-224
ISSN:0302-9743
Container-title:Multiple Classifier Systems
language:
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Author:

Frinken Volkmar,Fischer Andreas,Bunke Horst

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-12127-2_22

Reference22 articles.

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3. Levy, S.: Google’s two revolutions. Newsweek, December 27-January 3 (2004)

4. Kołcz, A., Alspector, J., Augusteijn, M.F., Carlson, R., Popescu, G.V.: A Line-Oriented Approach to Word Spotting in Handwritten Documents. Pattern Analysis and Applications 3, 153–168 (2000)

5. Manmatha, R., Rath, T.M.: Indexing of Handwritten Historical Documents - Recent Progress. In: Symposium on Document Image Understanding Technology, pp. 77–85 (2003)

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3. Keyword spotting for self-training of BLSTM NN based handwriting recognition systems;Pattern Recognition;2014-03

4. A Language Model for Improving the Graph-Based Transcription Approach for Historical Documents;Advances in Artificial Intelligence -- IBERAMIA 2014;2014

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