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    • 103. 发明授权
    • Method of segmenting characters in lines which may be skewed, for
allowing improved optical character recognition
    • 分割可能偏斜的行中的字符的方法,以允许改进的光学字符识别
    • US5062141A
    • 1991-10-29
    • US361031
    • 1989-06-02
    • Hiroshi NakayamaKeiji KojimaGen Sato
    • Hiroshi NakayamaKeiji KojimaGen Sato
    • G06K9/32
    • G06K9/32G06K2209/01
    • A method of segmenting characters of a document image comprises the steps of dividing the document image into a plurality of divided regions and setting a check width with respect to each of the divided regions, where each check width is greater than or equal to a width of a corresponding one of the divided regions so that the check widths of two mutually adjacent divided regions partially overlap each other, reading image data amounting to one line of the document image, obtaining from the image data horizontal projections of each line data within each of the check widths, where each horizontal projection is a number of black picture elements in a corresponding data line within a check width and each data line is made up of a plurality of picture elements arranged horizontally, segmenting a line based on the horizontal projections, obtaining from the image data vertical projections, where each vertical projection is a number of black picture elements in a vertical direction, determining a character segmentation range based on the vertical projections, and segmenting each character of the line within the character segmentation range.
    • 分割文档图像的字符的方法包括以下步骤:将文档图像分割成多个分割区域,并且相对于每个分割区域设置检查宽度,其中每个检查宽度大于或等于 分割区域中的对应的一个,使得两个相互相邻的分割区域的检查宽度部分地彼此重叠,读取相当于文档图像的一行的图像数据,从图像数据中获得每一行中的每行数据的水平投影 检查宽度,其中每个水平投影是在检查宽度内的相应数据线中的多个黑色图像元素,并且每个数据线由水平布置的多个图像元素组成,基于水平投影分割线,从 图像数据垂直投影,其中每个垂直投影是垂直方向上的黑色图像元素的数量 基于垂直投影来绘制字符分割范围,并且在字符分割范围内对行的每个字符进行分割。
    • 107. 发明授权
    • Pattern recognition method
    • 模式识别方法
    • US4961231A
    • 1990-10-02
    • US140131
    • 1987-12-31
    • Hiroshi NakayamaKeiji KojimaGen Sato
    • Hiroshi NakayamaKeiji KojimaGen Sato
    • G06K9/48G06T9/20
    • G06K9/481G06T9/20G06K2209/01
    • A pattern recognition method comprises a contour tracing step of a contour of a binary image in a predetermined direction along a predetermined type of pixels. At this time, four adjacent pixels on upper, lower, left-hand and right-hand sides of a point of interest are sequentially checked. Then, one pixel of a predetermined type out of the four adjacent pixels which is the first pixel of the predetermined type found by the check is designated as a next trace point subsequent to the point of interest. In this process, a feature of each of the traced pixels is extracted. The feature is represented by a directional code which indicates a direction of motion from the point of interest to the next trace point. The features are successively registered in a one-dimensional form. Histogram is produced for each sub-region storing a part of the one-dimensional feature sequence. A histogram for each sub-region is compared with a related reference histogram for a known character.
    • 模式识别方法包括沿着预定类型的像素沿预定方向的二进制图像的轮廓的轮廓描迹步骤。 此时,依次检查感兴趣点的上,下,左,右侧的四个相邻像素。 然后,作为检查所发现的预定类型的第一像素的四个相邻像素中的预定类型的一个像素被指定为感兴趣点之后的下一追踪点。 在该过程中,提取每个跟踪像素的特征。 该特征由指示从感兴趣点到下一个跟踪点的运动方向的方向代码表示。 这些特征以一维形式连续登记。 对于存储一维特征序列的一部分的每个子区域产生直方图。 将每个子区域的直方图与已知字符的相关参考直方图进行比较。