基于游程特征的文本图像识别方法
기우유정특정적문본도상식별방법
Document image recognition based on run feature
  • 万方数据
    计算机工程与应用 계산궤공정여응용
    COMPUTER ENGINEERING AND APPLICATIONS
    2010年 7期 194-196 ,共3页

    彭涛%马宏%戴元红%马杰

    팽도%마굉%대원홍%마걸

    图像识别%游程特征%倾斜度 圖像識彆%遊程特徵%傾斜度
    도상식별%유정특정%경사도
    image recognition%run feature%gradient
    提出了一种基于游程特征的中英文本图像识别方法,用游程统计特征提供的图像信息作为图像模式识别的描述特征,在此基础上利用神经网络来训练分类器.实验结果表明,该方法的识别精度较高,具有一定的容错能力.
    제출료일충기우유정특정적중영문본도상식별방법,용유정통계특정제공적도상신식작위도상모식식별적묘술특정,재차기출상이용신경망락래훈련분류기.실험결과표명,해방법적식별정도교고,구유일정적용착능력.
    This paper presents a method for document image recognition based on run feature.The image represented by run fea-ture provides the description for image pattern recognition.Based on it,Neural Network learning architecture is employed to learn to recognize the instances of the object class.Experimental results show that the method achieves high recognition accuracy,and it is perfect for fault tolerant.
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