講演抄録/キーワード |
講演名 |
2013-03-15 14:45
Segmentation-free MRF Recognition Method in Combination with P2DBMN-MQDF for Online Handwritten Cursive Word ○Bilan Zhu(Tokyo Univ. of Agriculture and Tech.)・Arti Shivram・Srirangaraj Setlur・Venu Govindaraju(Univ. at Buffalo)・Masaki Nakagawa(Tokyo Univ. of Agriculture and Tech.) PRMU2012-216 |
抄録 |
(和) |
(まだ登録されていません) |
(英) |
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. |
キーワード |
(和) |
/ / / / / / / |
(英) |
Word Recognition / Segmentation-free / Markov Random Field / Modified Quadratic Discriminant Function / Trie Lexicon, Beam Search / / / |
文献情報 |
信学技報, vol. 112, no. 495, PRMU2012-216, pp. 213-218, 2013年3月. |
資料番号 |
PRMU2012-216 |
発行日 |
2013-03-07 (PRMU) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
PDFダウンロード |
PRMU2012-216 |