IEEE - Institute of Electrical and Electronics Engineers, Inc. - Feature Extraction with Convolutional Neural Networks for Handwritten Word Recognition

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

Author(s): Theodore Bluche ; Hermann Ney ; Christopher Kermorvant
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): 285 - 289
ISBN (Electronic): 978-0-7695-4999-6
ISSN (Paper): 1520-5363
DOI: 10.1109/ICDAR.2013.64
Regular:

In this paper, we show that learning features with convolutional neural networks is better than using hand-crafted features for handwritten word recognition. We consider two kinds of systems: a... View More

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