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    Method and apparatus for sequencing off-line character from natural scene
    1.
    发明授权
    Method and apparatus for sequencing off-line character from natural scene 有权
    从自然场景中排除离线角色的方法和装置

    公开(公告)号：US08934716B2

    公开(公告)日：2015-01-13

    申请号：US13599111

    申请日：2012-08-30

    申请人： Ho Sub Yoon ,  Ji Eun Kim ,  Kyu Dae Ban ,  Dong Jin Lee ,  Jae Hong Kim ,  Joo Chan Sohn

    发明人： Ho Sub Yoon ,  Ji Eun Kim ,  Kyu Dae Ban ,  Dong Jin Lee ,  Jae Hong Kim ,  Joo Chan Sohn

    IPC分类号： G06K9/34 ,  G06K9/46

    CPC分类号： G06K9/00865 ,  G06K9/3258 ,  G06K9/348 ,  G06K2209/01

    摘要： Disclosed is a method of sequencing character information in order to increase precision of character recognition. The method includes: a pre-processing that extracts character information from an image to binarize the extracted character information through a predetermined threshold and extracts and thins a center line of the binarized character information; normalizing the pre-processed character information to character information according to a predetermined criteria; and sequencing the normalized character information using structural features including an end point or a divergence point of the character information. The present invention suggests an angle normalization method of input character information, a structural feature position determining method, and a structural feature numeral string generating method to strongly recognize characters configured by various fonts obtained from a natural scene regardless of an angle or a size of the characters.

    摘要翻译： 公开了一种对字符信息进行排序以提高字符识别精度的方法。 该方法包括：预处理，其从图像提取字符信息，以将所提取的字符信息二值化为预定阈值，并提取并清除二值化字符信息的中心线; 根据预定标准将预处理字符信息规范化为字符信息; 以及使用包括字符信息的终点或发散点的结构特征对归一化字符信息进行排序。 本发明提出一种输入字符信息的角度归一化方法，结构特征位置确定方法和结构特征数字串生成方法，用于强烈地识别从自然场景获得的各种字体配置的字符，而不管角度或尺寸如何 人物。

    Apparatus and method for recognizing identifier of vehicle
    3.
    发明授权
    Apparatus and method for recognizing identifier of vehicle 有权
    用于识别车辆识别符的装置和方法

    公开(公告)号：US08548201B2

    公开(公告)日：2013-10-01

    申请号：US13224178

    申请日：2011-09-01

    申请人： Ho Sub Yoon ,  Kyu Dae Ban ,  Young Woo Yoon ,  Woo Han Yun ,  Do Hyung Kim ,  Jae Yeon Lee ,  Jae Hong Kim ,  Su Young Chi ,  Joo Chan Sohn

    发明人： Ho Sub Yoon ,  Kyu Dae Ban ,  Young Woo Yoon ,  Woo Han Yun ,  Do Hyung Kim ,  Jae Yeon Lee ,  Jae Hong Kim ,  Su Young Chi ,  Joo Chan Sohn

    IPC分类号： G06K9/00

    CPC分类号： G06K9/6256 ,  G06K9/3258

    摘要： The present invention detects a candidate ROI group associated with character strings/figure strings on the basis of a result acquired through prior learning of various types of license plates, verifies the interested region candidate group detected by using at least one condition of five predetermined conditions, and determines an MBR region in the selected ROI region from the verified interested region candidate group by considering a ratio between the height and width of the ROI region to recognize the license plate for the automobile. According to the present invention, it is possible to automatically detect the location of the license plate regardless of various types of license plate specifications defined for each of countries.

    摘要翻译： 本发明基于通过先前学习各种类型的车牌而获得的结果检测与字符串/图形串相关联的候选ROI组，通过使用五个预定条件的至少一个条件来检验感兴趣区域候选组， 并且通过考虑ROI区域的高度和宽度之间的比率来识别汽车的车牌，从所验证的感兴趣区域候选组中确定所选择的ROI区域中的MBR区域。 根据本发明，无论为每个国家定义的各种类型的车牌规格如何，都可以自动检测车牌的位置。