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.
