Offline Chinese handwriting recognition (OCHR) is a typically difficult pattern recognition
problem. Many authors have presented various approaches to recognizing its different …

Offline handwritten Chinese recognition is an important research area of pattern recognition,
including offline handwritten Chinese character recognition (offline HCCR) and offline …

A new method using Gabor filters for character recognition in gray-scale images is proposed
in this paper. Features are extracted directly from gray-scale character images by Gabor …

Character segmentation is a challenging problem in the field of optical character recognition.
Presence of touched characters make this dilemma more crucial. The goal of this paper is to …

本文提出了针对字符图像的基于Gabor 变换的汉字识别新方法. 在对Gabor
变换深入分析的基础上, 本文针对汉字图像的统计信息, 提出了一种有效的Gabor …

Character segmentation is a challenging problem in the field of optical character recognition.
Touched characters make this dilemma more crucial. Accordingly, two broad classes of …

/spl omega/This paper proposed a new feature extraction method for Chinese character
recognition by using optimized Gabor filters. Based on the theory of Gabor filters and the …

× ØÖ Øº This paper presents an intelligent technique for segmentation of off-line cursive
handwritten words particularly on touching characters problem. In this study, Self Organizing …

In this paper, we present an effective method to writer identification that is carried out using
single Chinese character as script, which is very flexible and very easy to be used in …

The segmentation accuracy of Roman cursive characters, especially touched characters, is
essential for the high performance of Optical Character Recognition Systems. This paper …