講演抄録/キーワード |
講演名 |
2007-10-26 12:50
Segmentation of On-line Handwritten Japanese Characters of Arbitrary Line Direction Using SVM Bilan Zhu・○Masaki Nakagawa(Tokyo Univ. of Agriculture and Tech.) PRMU2007-115 |
抄録 |
(和) |
This paper describes a method of producing segmentation point candidates for on-line handwritten Japanese text by a support vector machine (SVM) to improve text recognition. This method extracts multi-dimensional features from on-line strokes of handwritten text and applies the SVM to the extracted features to produces segmentation point candidates. This paper also shows the details of generating segmentation point candidates in order to achieve high discrimination rate by finding the optimal combination of the segmentation threshold and the concatenation threshold. We compare the method for segmentation by the SVM with that by a neural network (NN) and show the result that the method by the SVM bring about a better segmentation rate and character recognition rate. |
(英) |
This paper describes a method of producing segmentation point candidates for on-line handwritten Japanese text by a support vector machine (SVM) to improve text recognition. This method extracts multi-dimensional features from on-line strokes of handwritten text and applies the SVM to the extracted features to produces segmentation point candidates. This paper also shows the details of generating segmentation point candidates in order to achieve high discrimination rate by finding the optimal combination of the segmentation threshold and the concatenation threshold. We compare the method for segmentation by the SVM with that by a neural network (NN) and show the result that the method by the SVM bring about a better segmentation rate and character recognition rate. |
キーワード |
(和) |
On-line recognition / Character recognition / Segmentation / SVM / Writing constraint / / / |
(英) |
On-line recognition / Character recognition / Segmentation / SVM / Writing constraint / / / |
文献情報 |
信学技報, vol. 107, no. 281, PRMU2007-115, pp. 135-140, 2007年10月. |
資料番号 |
PRMU2007-115 |
発行日 |
2007-10-18 (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 |
PRMU2007-115 |