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    • 3. 发明授权
    • User authentication system and method thereof
    • 用户认证系统及其方法
    • US07634113B2
    • 2009-12-15
    • US11291607
    • 2005-11-30
    • Do-Hyung KimJae-Yeon LeeSu-Young ChiHo-Sub YoonKye-Kyung KimSoo-Hyun ChoHye-Jin KimYoung-Jo Cho
    • Do-Hyung KimJae-Yeon LeeSu-Young ChiHo-Sub YoonKye-Kyung KimSoo-Hyun ChoHye-Jin KimYoung-Jo Cho
    • G06K9/00G06K5/00G05B19/00G10L21/00
    • G06K9/00362
    • A user recognizing system and method is provided. According to the user recognizing system and method, user ID and predetermined user feature information are stored, first and second user feature information are extracted from the user image data transmitted from the image input unit, and first and second probabilities that the extracted first and second user feature information determine the predetermined user are respectively generated based on the information stored at the user information database, the first user feature information being absolutely unique biometric information and the second user feature information being unique semibiometric information under a predetermined condition, and ID of the input image is finally determined by combining the first probability and the second probability. According to the user recognizing system and method, a user identity can be authenticated even when the user freely moves.
    • 提供了一种用户识别系统和方法。 根据用户识别系统和方法,存储用户ID和预定用户特征信息,从从图像输入单元发送的用户图像数据中提取第一和第二用户特征信息,以及提取的第一和第二概率的第一和第二概率 基于存储在用户信息数据库中的信息分别生成预定用户的用户特征信息,第一用户特征信息是绝对唯一的生物体信息,第二用户特征信息是预定条件下的唯一半身测量信息,以及ID 最终通过组合第一概率和第二概率来确定输入图像。 根据用户识别系统和方法,即使用户自由移动,也可以认证用户身份。
    • 5. 发明授权
    • Method for analyzing structure of a treatise type of document image
    • 分析文献图像的论文类型结构的方法
    • US06728403B1
    • 2004-04-27
    • US09496630
    • 2000-02-02
    • Dae-Geun JangKyung-Ae MoonYoung-Sup HwangSu-Young ChiWeon-Geun Oh
    • Dae-Geun JangKyung-Ae MoonYoung-Sup HwangSu-Young ChiWeon-Geun Oh
    • G06K934
    • G06K9/00469
    • A method for analyzing structure of a treatise type of document image in order to detect a title, an author and an abstract region and recognize the content in each of the regions is provided. In order to analyze the structure of a treatise type of document, first, the document image divided into a number of regions and the divided regions are classified into text regions and non-text regions according to attributes of the regions. And then, the candidate regions representing an abstract and an introduction is selected, thereafter word regions are extracted from the candidate regions, and an abstract content portion is determined. Thereafter, the title and the author are separated by using the basic form and the type definition representing an arrangement of each of journals. Finally, the content of the separated regions is recognized to generate said table of contents.
    • 提供了一种用于分析文献图像的论文结构以便检测标题,作者和抽象区域并且识别每个区域中的内容的方法。 为了分析论文类型的文档的结构,首先,根据区域的属性将分割成多个区域的文档图像和分割区域分类为文本区域和非文本区域。 然后,选择表示抽象和引入的候选区域,之后从候选区域提取字区域,并且确定抽象内容部分。 此后,标题和作者通过使用表示各期刊的排列的基本形式和类型定义分开。 最后,识别分离区域的内容以产生所述目录。