| Presentation | 2013-03-15 Segmentation-free MRF Recognition Method in Combination with P2DBMN-MQDF for Online Handwritten Cursive Word Bilan ZHU, Arti Shivram, Srirangaraj Setlur, Venu Govindaraju, Masaki Nakagawa, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper describes an online handwritten English cursive word recognition method using a segmentation-free Markov random field (MRF)model in combination with an offline recognition method which uses pseudo 2D bi-moment normalization (P2DBMN)and modified quadratic discriminant function (MQDF). It extracts feature points along the pen-tip trace from pen-down to pen-up and uses the feature point coordinates as unary features and the differences in coordinates between the neighboring feature points as binary features. Each character is modeled as a MRF and word MRFs are constructed by concatenating character MRFs according to a trie lexicon of words during recognition. Our method expands the search space using a character-synchronous beam search strategy to search the segmentation and recognition paths. This method restricts the search paths from the trie lexicon of words and preceding paths, as well as the lengths of feature points during path search. Moreover, we combine it with a P2DBMN-MQDF recognizer that is widely used for Chinese and Japanese character recognition. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Word Recognition / Segmentation-free / Markov Random Field / Modified Quadratic Discriminant Function / Trie Lexicon / Beam Search |
| Paper # | PRMU2012-216 |
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| Committee | PRMU |
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| Conference Date | 2013/3/7(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 | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Segmentation-free MRF Recognition Method in Combination with P2DBMN-MQDF for Online Handwritten Cursive Word |
| Sub Title (in English) | |
| Keyword(1) | Word Recognition |
| Keyword(2) | Segmentation-free |
| Keyword(3) | Markov Random Field |
| Keyword(4) | Modified Quadratic Discriminant Function |
| Keyword(5) | Trie Lexicon |
| Keyword(6) | Beam Search |
| 1st Author's Name | Bilan ZHU |
| 1st Author's Affiliation | Department of Computer and Information Sciences, Tokyo University Agriculture and Technology() |
| 2nd Author's Name | Arti Shivram |
| 2nd Author's Affiliation | Center for Unified Biometrics and Sensors |
| 3rd Author's Name | Srirangaraj Setlur |
| 3rd Author's Affiliation | Center for Unified Biometrics and Sensors |
| 4th Author's Name | Venu Govindaraju |
| 4th Author's Affiliation | Center for Unified Biometrics and Sensors |
| 5th Author's Name | Masaki Nakagawa |
| 5th Author's Affiliation | Department of Computer and Information Sciences, Tokyo University Agriculture and Technology |
| Date | 2013-03-15 |
| Paper # | PRMU2012-216 |
| Volume (vol) | vol.112 |
| Number (no) | 495 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |