Look inside the world of parts of handwritten characters

Wang Song, Seiichi Uchida, Marcus Liwicki

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

4 被引用数 (Scopus)

抄録

Part-based recognition is expected to be robust in difficult handwritten character recognition tasks. This is because part-based recognition is based on aggregation of independent recognition results at individual local parts without considering their global relations and thus is robust against various deformations, such as partial occlusion, overlap, broken stroke, etc. Since part-based recognition is a new approach, there are still several open problems toward its practical use. For example, compared with entire images, local parts are more ambiguous, i.e., less discriminative. For better recognition accuracy and less computations, we need to know the characteristics of local parts and then, for example, discard less discriminative parts. The purpose of this paper is to conduct some experiments in order to observe and analyze how the local parts of multiple classes are distributed in feature spaces. By handling parts appropriately based on the analysis, we will be able to enhance the usefulness of the part-based method.

本文言語英語
ホスト出版物のタイトルProceedings - 11th International Conference on Document Analysis and Recognition, ICDAR 2011
ページ784-788
ページ数5
DOI
出版ステータス出版済み - 2011
イベント11th International Conference on Document Analysis and Recognition, ICDAR 2011 - Beijing, 中国
継続期間: 9 18 20119 21 2011

出版物シリーズ

名前Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
ISSN(印刷版)1520-5363

その他

その他11th International Conference on Document Analysis and Recognition, ICDAR 2011
国/地域中国
CityBeijing
Period9/18/119/21/11

All Science Journal Classification (ASJC) codes

  • コンピュータ ビジョンおよびパターン認識

フィンガープリント

「Look inside the world of parts of handwritten characters」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル