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    • 5. 发明申请
    • Real-time recognition of mixed source text
    • 混合源文本的实时识别
    • US20070065003A1
    • 2007-03-22
    • US11232260
    • 2005-09-21
    • Eduardo KellermanRosemary ParadisAlfred Rundle
    • Eduardo KellermanRosemary ParadisAlfred Rundle
    • G06K9/62G06K9/00
    • G06K9/6835G06K9/00422G06K9/222
    • Methods and computer program products are disclosed for the real-time classification of text from a region of interest within an image sample. A feature extractor extracts feature data associated with a plurality of region features from the region of interest. The plurality of region features are selected as to minimize the time necessary for feature extraction. A neural network preclassifier selects one of a plurality of associated source classes for the region of interest according to the extracted feature data. A plurality of classification systems are each associated with one of the plurality of source classes. Each of the plurality of classification systems are operative to classify individual characters within the region of interest when the associated source class of the classification system is selected.
    • 公开了用于从图像样本中的感兴趣区域的文本的实时分类的方法和计算机程序产品。 特征提取器从感兴趣区域提取与多个区域特征相关联的特征数据。 选择多个区域特征以最小化特征提取所需的时间。 神经网络预分类器根据所提取的特征数据来选择感兴趣区域的多个关联源类别中的一个。 多个分类系统各自与多个源类别中的一个相关联。 当选择分类系统的相关联的源类别时,多个分类系统中的每一个可操作以对感兴趣区域内的各个字符进行分类。