Slant correction of a character sequence using a half-cosine wavelet network

DOI

Bibliographic Information

Other Title
  • 半余弦関数ウェーブレットネットワークを用いた文字列の傾き補正

Abstract

A slant correction is one of the important preprocessings before an image processing such as a character recognition. In general, the results of that preprocessing influence the performance of the image processing. We present an effective slant estimation method employing a half-cosine function wavelet network, which is superior in feature extraction. The proposed method executes an character area extraction and slant estimation simultaneously. In this paper, the slant estimations of a character sequence in various slant angles are examined and the validity of the proposed method is discussed.

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Details 詳細情報について

  • CRID
    1390001205667504768
  • NII Article ID
    130004591397
  • DOI
    10.14864/fss.22.0.47.0
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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