Handwriting recognition for Chinese characters - Revision history

Dimos at 18:04, 27 January 2011

2011-01-27T18:04:33Z

Masa at 03:03, 18 May 2010

2010-05-18T03:03:34Z

Masa at 14:52, 1 May 2010

2010-05-01T14:52:55Z

Masa at 14:50, 1 May 2010

2010-05-01T14:50:53Z

Masa at 05:09, 1 May 2010

2010-05-01T05:09:14Z

Masa: moved Task:Handwriting recognition for Chinese characters to Handwriting recognition for Chinese characters

2010-05-01T00:13:17Z

moved Task:Handwriting recognition for Chinese characters to Handwriting recognition for Chinese characters

Masa: /* References */

2010-04-30T14:39:37Z

‎References

Masa: Created page with '=Description= The aim of this task is to automatically recognize a series of characters that written on paper or handwriting input device. This is a topic that has received a lo…'

2010-04-30T14:19:09Z

Created page with '=Description= The aim of this task is to automatically recognize a series of characters that written on paper or handwriting input device. This is a topic that has received a lo…'

New page

=Description=
The aim of this task is to automatically recognize a series of characters that written on paper or handwriting input device.

This is a topic that has received a lot of attention lately, including the shape normalization methods for handwritten Chinese character recognition [1], and various methods for online recognition of Chinese characters (see [2] for a review).

=Evaluation Protocol=
This task consists of a total number of 909,818 handwriting characters. We provide one training set (the character subsets: GB1, GB2, Letter and Digit, 832,650 samples) and one testing set (the documents subset, 77,168 samples). For evaluation, the overall recognition rate should be reported.

=References=
1. C. L. Liu, and K. Marukawa, 2005, “Pseudo two-dimensional shape normalization methods for handwritten Chinese character recognition,” Pattern Recognition, vol. 38, no. 12, pp. 2242-2255, Dec.
2. C. L. Liu, S. Jaeger, and M. Nakagawa, 2004, “Online recognition of Chinese characters: The state-of-the-art,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 26, no. 2, pp. 198-213.

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 =Related Dataset=
 * [[Harbin Institute of Technology Opening Recognition Corpus for Chinese Characters (HIT-OR3C)]]
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 This page is editable only by [[IAPR-TC11:Reading_Systems#TC11_Officers|TC11 Officers ]].

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 . C. L. Liu, S. Jaeger, and M. Nakagawa, 2004, “Online recognition of Chinese characters: The state-of-the-art,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 26, no. 2, pp. 198-213.
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 This page is editable only by [[IAPR-TC11:Reading_Systems#TC11_Officers|TC11 Officers ]].

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 =Description=
 The aim of this task is to automatically recognize a series of characters that written on paper or handwriting input device.
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 . C. L. Liu, S. Jaeger, and M. Nakagawa, 2004, “Online recognition of Chinese characters: The state-of-the-art,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 26, no. 2, pp. 198-213.

← Older revision	Revision as of 00:13, 1 May 2010
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 =References=
 . C. L. Liu, and K. Marukawa, 2005, “Pseudo two-dimensional shape normalization methods for handwritten Chinese character recognition,” Pattern Recognition, vol. 38, no. 12, pp. 2242-2255, Dec.
 . C. L. Liu, S. Jaeger, and M. Nakagawa, 2004, “Online recognition of Chinese characters: The state-of-the-art,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 26, no. 2, pp. 198-213.