| Presentation | 2014-06-20 An experiment of Text/Non-text Classification using Conditional Random Fields for Japanese Online Handwritten Japanese Ink Documents Soichiro Inatani, Truyen Van Phan, Masaki Nakagawa, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we propose the method based on Conditional Random fields (CRF) for separating text and non-text ink strokes in online handwritten Japanese documents. Text/non-text classification requires for the free handwriting, and contributes to the improvement of text and figure recognition accuracies. Several works using context information reported superior results for text/non-text classification to those without using context information. The purpose of this work is to improve the accuracy of text/non-text classification. To attain our goal, we propose the classification method based on CRF utilizing spatial and temporal context of ink documents effectively. In this experiment, we compare the two methods based on CRF and Markov Random fields (MRF) for classifying ink strokes into text and non-text, and evaluate the performances of methods. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Text/Non-text classification / ink stroke classification / Markov Random fields / Conditional Random fields / CRF |
| Paper # | PRMU2014-34 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2014/6/12(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Pattern Recognition and Media Understanding (PRMU) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | An experiment of Text/Non-text Classification using Conditional Random Fields for Japanese Online Handwritten Japanese Ink Documents |
| Sub Title (in English) | |
| Keyword(1) | Text/Non-text classification |
| Keyword(2) | ink stroke classification |
| Keyword(3) | Markov Random fields |
| Keyword(4) | Conditional Random fields |
| Keyword(5) | CRF |
| 1st Author's Name | Soichiro Inatani |
| 1st Author's Affiliation | Department of Information Engineering, Tokyo University of Agriculture and Technology() |
| 2nd Author's Name | Truyen Van Phan |
| 2nd Author's Affiliation | Department of Information Engineering, Tokyo University of Agriculture and Technology |
| 3rd Author's Name | Masaki Nakagawa |
| 3rd Author's Affiliation | Department of Information Engineering, Tokyo University of Agriculture and Technology |
| Date | 2014-06-20 |
| Paper # | PRMU2014-34 |
| Volume (vol) | vol.114 |
| Number (no) | 90 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |