Presentation | 2002/3/7 Document recognition by real-time classifications of character images and reduction of correction labor of recognition results Eriko ANDO, Masakazu SUZUKI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In the process of the recognition of documents, we perform a real-time classification of character images. After the classification, the result of character recognition is determined by majority in each class, so that the character recognition rate is improved. We propose two methods of reduce the labor to correct the recognition results and report the experimets to estimate the performance. One of the method is the automatic correction method for the caracters belonging to a same class. When a user correct a character, then all the other characters belonging to the same class are corrected simultaneously. In the second method, after the classification of character images for all the pages of the volume to be recognized, the system lists the classification results of the characters and present a method of cluster-wise correction of the recognition results, before performing the structure analysis of mathematical expressions, to improve the efficiency of digitization work of mathematical documents. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | OCR / clustering / reduction of correction labor of recognition results |
Paper # | TL2001-62 |
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Conference Information | |
Committee | TL |
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Conference Date | 2002/3/7(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Thought and Language (TL) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Document recognition by real-time classifications of character images and reduction of correction labor of recognition results |
Sub Title (in English) | |
Keyword(1) | OCR |
Keyword(2) | clustering |
Keyword(3) | reduction of correction labor of recognition results |
1st Author's Name | Eriko ANDO |
1st Author's Affiliation | Faculty of Mathematics, Kyushu University() |
2nd Author's Name | Masakazu SUZUKI |
2nd Author's Affiliation | Graduate School of Mathematics, Kyushu University |
Date | 2002/3/7 |
Paper # | TL2001-62 |
Volume (vol) | vol.101 |
Number (no) | 710 |
Page | pp.pp.- |
#Pages | 8 |
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