Using eigen-deformations in handwritten character recognition

Seiichi Uchida, Mohammad Asad Ronee, Hiroaki Sakoe

研究成果: ジャーナルへの寄稿学術誌査読

7 被引用数 (Scopus)

抄録

Deformations in handwritten characters have class-dependent tendencies. For example, characters of class "A" are often deformed by global slant transformation and never deformed to be similar to "R". In this paper, the extraction and the utilization of such tendencies called eigen-deformations are investigated for better performance of elastic matching based recognition systems. The eigen-deformations are extracted by the principal component analysis of actual deformations automatically collected by elastic matching. From experimental results it was shown that the extracted eigen-deformations represent typical deformations of each class. It was also shown that the recognition performance can be improved significantly by using the eigen-deformations in detecting overfitting, which often results in misrecognition.

本文言語英語
ページ(範囲)572-575
ページ数4
ジャーナルUnknown Journal
16
1
出版ステータス出版済み - 2002

!!!All Science Journal Classification (ASJC) codes

  • 電子工学および電気工学
  • コンピュータ ビジョンおよびパターン認識
  • ハードウェアとアーキテクチャ

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