Method and apparatus for identifying table areas in documents
    11.
    发明授权
    Method and apparatus for identifying table areas in documents 失效
    用于识别文件中表格区域的方法和装置

    公开(公告)号:US5774584A

    公开(公告)日:1998-06-30

    申请号:US685779

    申请日:1996-07-24

    CPC classification number: G06K9/00449

    Abstract: Image processing method and apparatus are provided. A histogram of image information is obtained. A peak position is detected from the histogram obtained. A small area is decided by using the detected peak position as a reference. A histogram of the decided small area of the image information is obtained. A specific point is determined from the peak position of the histogram of the small area obtained. The size of small area is decided in accordance with a peak width of the histogram of the image information. The image information is inputted by a scanner. A table can be used as image information and the specific point which is decided is an intersection of ruled lines of the table. A cell area of the table is judged from the intersection decided.

    Abstract translation: 提供图像处理方法和装置。 获得图像信息的直方图。 从获得的直方图中检测出峰值位置。 通过使用检测到的峰值位置作为参考来决定小区域。 获得所确定的图像信息的小区域的直方图。 从获得的小区域的直方图的峰值位置确定特定点。 小区域的大小根据图像信息的直方图的峰值宽度来决定。 图像信息由扫描器输入。 一张桌子可以作为图像信息,决定的具体点是表格的一条线。 从交会决定表格的单元格区域。

    Pattern recognizing method and apparatus
    13.
    发明授权
    Pattern recognizing method and apparatus 失效
    模式识别方法和装置

    公开(公告)号:US5671293A

    公开(公告)日:1997-09-23

    申请号:US700828

    申请日:1996-08-21

    Applicant: Toru Niki

    Inventor: Toru Niki

    CPC classification number: G06K9/6234 G06K9/6218 G06K9/6235

    Abstract: A pattern recognizing apparatus comprises a feature vector extractor to extract a feature vector of an input pattern; a converting unit to convert the feature vector extracted by the feature vector extractor into the feature vector which is effective for selection between categories; a classification processing unit for calculating an inner product with a predetermined basic vector for the converted vector after the conversion was performed by the converting unit; and a category selecting unit for selecting and outputting a category group to which the input pattern belongs with reference to a predetermined category table on the basis of the result of the calculation by the classification processing unit.

    Abstract translation: 图案识别装置包括:特征向量提取器,用于提取输入图案的特征向量; 转换单元,用于将由特征向量提取器提取的特征向量转换成对于类别之间的选择有效的特征向量; 分类处理单元,用于通过转换单元执行转换后的转换矢量的具有预定基本矢量的内积; 以及类别选择单元,用于基于分类处理单元的计算结果,参考预定类别表来选择和输出输入模式所属的类别组。

    Printer driver having adaptable default mode
    14.
    发明授权
    Printer driver having adaptable default mode 失效
    具有适应默认模式的打印机驱动程序

    公开(公告)号:US06762771B1

    公开(公告)日:2004-07-13

    申请号:US09135648

    申请日:1998-08-18

    CPC classification number: G06F3/1204 G06F3/1229 G06F3/1284

    Abstract: A device driver for use in a computer system includes process steps to detect data corresponding to at least one system resource of the computer system, to determine a default operational mode from a plurality of operational modes of a device based on the data corresponding to at least one system resource, and to provide a user interface for selecting an operational mode from the plurality of operational modes.

    Abstract translation: 用于计算机系统的设备驱动程序包括检测对应于计算机系统的至少一个系统资源的数据的过程步骤,以基于至少对应的数据从设备的多个操作模式确定默认操作模式 一个系统资源,并且提供用于从多个操作模式中选择操作模式的用户界面。

    Pattern recognition method and apparatus using a neural network
    16.
    发明授权
    Pattern recognition method and apparatus using a neural network 失效
    使用神经网络的模式识别方法和装置

    公开(公告)号:US5422981A

    公开(公告)日:1995-06-06

    申请号:US793545

    申请日:1991-11-18

    Applicant: Toru Niki

    Inventor: Toru Niki

    CPC classification number: G06K9/66

    Abstract: A method and apparatus for using a neural network to categorize patterns from pattern feature data derived from the patterns. The average of all the learning data of the neural network is subtracted from the pattern feature data, and the result is input to the input layer of the neural network. The neural network outputs a value for each category and the pattern is categorized based on these values. The neural network includes an intermediate layer whose bias is set to zero and which includes a sigmoid transfer function which is symmetric with respect to the origin.

    Abstract translation: 一种用于使用神经网络对从图案导出的图案特征数据对图案进行分类的方法和装置。 从模式特征数据中减去神经网络的所有学习数据的平均值,并将结果输入到神经网络的输入层。 神经网络输出每个类别的值,并且基于这些值对模式进行分类。 神经网络包括其偏置设置为零并且包括相对于原点对称的S形传递函数的中间层。

Patent Agency Ranking