2006年
Online writer verification using kanji handwriting
MULTIMEDIA CONTENT REPRESENTATION, CLASSIFICATION AND SECURITY
- ,
- 巻
- 4105
- 号
- 開始ページ
- 207
- 終了ページ
- 214
- 記述言語
- 英語
- 掲載種別
- 出版者・発行元
- SPRINGER-VERLAG BERLIN
This paper investigates writer verification using handwritten kanji characters on a digitizing tablet. Features representing individuality, which are derived from the knowledge of document examiners, are automatically extracted and then the features effective in writer verification are selected from the extracted features. Two classifiers based on frequency distribution of deviations of the selected features are proposed and evaluated by verification experiments. The experimental results show that the proposal methods are effective in writer verification.
- リンク情報
- ID情報
-
- ISSN : 0302-9743
- Web of Science ID : WOS:000241429800028