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    • 13. 发明授权
    • Character recognition method
    • 字符识别方法
    • US4903313A
    • 1990-02-20
    • US69303
    • 1987-07-02
    • Michiyoshi Tachikawa
    • Michiyoshi Tachikawa
    • G06K9/48
    • G06K9/48G06K2209/01
    • A character recognition method includes a step of assigning one of a plurality of predetermined directionality codes to each of the pixels defining the contour of a character pattern. Then, the character pattern, to which the directionality codes have been assigned, is subdivided into a plurality of mesh regions. In this case, in accordance with the present invention, the character pattern is not directly subdivided into mesh regions, and, instead, the character pattern is first subdivided into a first plurality of sub-regions and then the first plurality of sub-regions are converted into a second plurality, which is smaller in number than the first plurality, of mesh regions by combining at least some of said first plurality of sub-regions. Such a two-step subdivision process of a character pattern is advantageous in absorbing fluctuations caused by modifications of the character pattern, such as hand-written characters.
    • 字符识别方法包括将多个预定方向性代码之一分配给定义字符图案的轮廓的每个像素的步骤。 然后,已经分配了方向代码的字符图案被细分成多个网格区域。 在这种情况下,根据本发明,字符图案不被直接分割为网格区域,而是将字符图案首先细分为第一多个子区域,然后第一多个子区域 通过组合所述第一多个子区域中的至少一些,转换成第二多个,其数量小于第一多个网格区域。 字符图案的这种两步细分处理有利于吸收由诸如手写字符的字符图案的修改引起的波动。
    • 16. 发明授权
    • Image recognition method and apparatus using image rotation information
    • 使用图像旋转信息的图像识别方法和装置
    • US06256412B1
    • 2001-07-03
    • US08811540
    • 1997-03-04
    • Toshio MiyazawaMichiyoshi TachikawaMayumi Nishimura
    • Toshio MiyazawaMichiyoshi TachikawaMayumi Nishimura
    • G06K962
    • G06K9/32G06T3/60
    • An image recognition apparatus for recognizing a specific image in an object image using image signals of the object image, the specific image having a possibility of being rotated. The image recognition apparatus includes an image information extraction unit for extracting an object image from the image signals as a candidate for recognition of the specific image and for extracting feature values from the object image using the image signals, and a match determining device coupled to the image information extraction unit for recognizing the specific image in the object image by a comparison of the extracted feature values from the object image with reference data for the specific image. The match determining device is controlled using the reference data according to an easy to determine rotation characteristic and difficult to determine rotation characteristic in the reference data for the specific image.
    • 一种用于使用对象图像的图像信号识别对象图像中的特定图像的图像识别装置,该特定图像具有旋转的可能性。 图像识别装置包括:图像信息提取单元,用于从作为用于识别特定图像的候选的图像信号中提取目标图像,并且使用图像信号从对象图像提取特征值;以及匹配确定装置, 图像信息提取单元,用于通过将来自对象图像的提取的特征值与特定图像的参考数据进行比较来识别对象图像中的特定图像。 根据易于确定的旋转特性,使用参考数据控制匹配确定装置,并且难以确定用于特定图像的参考数据中的旋转特性。
    • 18. 发明授权
    • Image extraction method and apparatus and image recognition method and apparatus for extracting/recognizing specific images from input image signals
    • 用于从输入图像信号中提取/识别特定图像的图像提取方法和装置以及图像识别方法和装置
    • US06181820B2
    • 2001-01-30
    • US09457366
    • 1999-12-09
    • Michiyoshi TachikawaToshio MiyazawaAkihiko Hirano
    • Michiyoshi TachikawaToshio MiyazawaAkihiko Hirano
    • G06K936
    • G06K9/4647G06K9/00463G06K9/46G06K9/4652
    • A circumscribing rectangle is obtained for a black continuous image part using a two-tone image signal. If it is determined that the image part is possibly one which is obtained as a result of rotating the object, lengths of sides of the image part are compared with threshold values. If it is determined that the image part is not one which is obtained as a result of rotating the object, the height and horizontal length of the circumscribing rectangle are compared with the threshold values. Thus, it is determined whether or not the image part is identical to the object. An RGB chromaticity histogram is produced for each of small regions of an input color image. Each of the chromaticity histograms of the small regions is compared with reference ones. As a result of the comparison, an identification number of the reference histogram having the highest similarity to that of the small region among those constituting the input image is given to the small region. A histogram of the identification numbers thus is produced for the input color image. The thus-produced histogram is used to determine which one of a plurality of objects is identical to the input color image.
    • 对于使用双色调图像信号的黑色连续图像部分获得外接矩形。 如果确定图像部分可能是由于旋转对象而获得的图像部分,则将图像部分的边的长度与阈值进行比较。 如果确定图像部分不是作为旋转物体的结果获得的图像部分,则将外接矩形的高度和水平长度与阈值进行比较。 因此,确定图像部分是否与对象相同。 为输入彩色图像的每个小区域产生RGB色度直方图。 将每个小区域的色度直方图与参考图像进行比较。 作为比较的结果,在小区域中给出与构成输入图像的那些区域中具有与小区域相似度最高的参考直方图的识别号。 因此,为输入彩色图像产生识别号的直方图。 由此产生的直方图用于确定多个对象中的哪一个与输入的彩色图像相同。
    • 19. 发明授权
    • Binarization method
    • 二值化方法
    • US5351313A
    • 1994-09-27
    • US806628
    • 1991-12-13
    • Goroh BesshoMichiyoshi Tachikawa
    • Goroh BesshoMichiyoshi Tachikawa
    • G06K9/38H04N1/403
    • H04N1/403G06K9/38G06K2209/01
    • A binarization method obtains an optimum threshold value for binarization which is used when converting a multi-level image data which describes an input image into a black-and-white bi-level image data. The binarization method includes the steps of counting a first number of black picture elements by varying a threshold value from a darkest tone level to a lightest tone level, counting a second number of picture elements having a tone level other than the lightest tone level, obtaining a percentage of the first number with respect to the second number for each of the varied threshold values so as to normalize a density of the input image, and determining the optimum threshold value for binarization based on the percentage which is obtained for each of the varied threshold values.
    • 二值化方法获得用于将描述输入图像的多级图像数据转换成黑白双层图像数据时使用的二值化的最优阈值。 二值化方法包括以下步骤:通过将最暗色调电平的阈值改变为最浅色调电平来对第一数量的黑色像素进行计数,对具有除最轻音级之外的音调电平的第二数量的像素进行计数,获得 相对于每个变化阈值的第二数量的第一数量的百分比,以便对输入图像的浓度进行归一化,并且基于为每个变化的阈值获得的百分比来确定用于二值化的最佳阈值。 阈值。
    • 20. 发明授权
    • Character recognition apparatus having means for compressing feature data
    • 字符识别装置具有用于压缩特征数据的装置
    • US4959870A
    • 1990-09-25
    • US197225
    • 1988-05-23
    • Michiyoshi Tachikawa
    • Michiyoshi Tachikawa
    • G06K9/48G06T9/00
    • G06T9/008G06K9/48G06K2209/01
    • A character recognition apparatus comprises an extracting part for extracting a feature of a character within an image data related to a document in a form of a feature vector having components which are histogram values of n degree peripheral pattern describing the feature of the character by distances from an arbitrary side of a character frame to each of first through nth detected contour of the character within the frame, a compression part for compressing the feature vector into a compressed feature vector having components which are quantized data, a dictionary which stores compressed feature vectors of standard characters, and a matching part for matching the compressed feature vector obtained from the compression part with each of the compressed feature vectors stored in the dictionary so as to output at least one candidate character corresponding to one of the standard characters described by a compressed feature vector having a minimum difference with the compressed feature vector obtained from the compression part out of the compressed feature vectors stored in the dictionary.
    • 字符识别装置包括提取部分,用于提取与文档相关的图像数据内的字符的特征,其形式为特征向量,其特征向量具有作为描述字符的特征的n度周边图案的直方图值, 字符帧的任意一侧到第一至第n检测到的帧内的字符的轮廓,压缩部分,用于将特征向量压缩为具有量化数据的分量的压缩特征向量;字典,其存储压缩特征向量 标准字符和匹配部分,用于将从压缩部分获得的压缩特征向量与存储在字典中的每个压缩特征矢量进行匹配,以便输出与由压缩特征描述的标准字符之一相对应的至少一个候选字符 与压缩特征v具有最小差异的向量 从压缩部分中获取的被保存在字典中的压缩特征向量。