Stochastic model of stroke order variation

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

4 被引用数 (Scopus)

抄録

A stochastic model of stroke order variation is proposed and applied to the stroke-order free on-line Kanji character recognition. The proposed model is a hidden Markov model (HMM) with a special topology to represent all stroke order variations. A sequence of state transitions from the initial state to the final state of the model represents one stroke order and provides a probability of the stroke order. The distribution of the stroke order probability can be trained automatically by using an EM algorithm from a training set of on-line character patterns. Experimental results on large-scale test patterns showed that the proposed model could represent actual stroke order variations appropriately and improve recognition accuracy by penalizing incorrect stroke orders.

本文言語英語
ホスト出版物のタイトルICDAR2009 - 10th International Conference on Document Analysis and Recognition
ページ803-807
ページ数5
DOI
出版ステータス出版済み - 2009
イベントICDAR2009 - 10th International Conference on Document Analysis and Recognition - Barcelona, スペイン
継続期間: 7 26 20097 29 2009

その他

その他ICDAR2009 - 10th International Conference on Document Analysis and Recognition
国/地域スペイン
CityBarcelona
Period7/26/097/29/09

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

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