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    Page segmentation and character recognition system
    1.
    发明公开
    Page segmentation and character recognition system 失效
    系统zur Seitensegmentierung und Zeichenerkennung。

    公开(公告)号：EP0677817A2

    公开(公告)日：1995-10-18

    申请号：EP95301123.6

    申请日：1995-02-22

    申请人： CANON KABUSHIKI KAISHA

    发明人： Al-Hussein, Hussein

    IPC分类号： G06K9/32

    CPC分类号： G06K9/3283 ,  G06K9/00463 ,  G06K9/346 ,  G06K9/685 ,  G06K2209/01

    摘要： A personal imaging computer system, which is connectable to and operable with a computerized local or wide area network, identifies characters in a document on which the characters are formed. The system scans the document to obtain a gray-scale image of the document, generates a binary image from the gray-scale image by comparing the gray-scale image with the threshold, segments the binary image to locate individual characters within the binary image and to determine the shape of the individual characters, extracts gray-scale image information from the gray-scale image for each such individual character based on the location and shape of the character in the binary image, recognition-processes the extracted gray scale image information to determine the identity of the character, and stores the identity of the character.

    摘要翻译： 可与计算机化的本地或广域网连接并可操作的个人成像计算机系统识别形成有字符的文档中的字符。 系统扫描文档以获得文档的灰度图像，通过将灰度图像与阈值进行比较，从灰度图像生成二进制图像，分割二进制图像以定位二进制图像内的各个字符， 为了确定单个字符的形状，基于二进制图像中的字符的位置和形状，从每个这样的单个字符的灰度图像中提取灰度图像信息，将提取的灰度图像信息进行识别处理 确定角色的身份，并存储角色的身份。

    Page segmentation and character recognition system
    2.
    发明公开
    Page segmentation and character recognition system 失效
    系统预留分割和字符识别。

    公开(公告)号：EP0677817A3

    公开(公告)日：1996-10-02

    申请号：EP95301123.6

    申请日：1995-02-22

    申请人： CANON KABUSHIKI KAISHA

    发明人： Al-Hussein, Hussein

    IPC分类号： G06K9/32

    CPC分类号： G06K9/3283 ,  G06K9/00463 ,  G06K9/346 ,  G06K9/685 ,  G06K2209/01

    摘要： A personal imaging computer system, which is connectable to and operable with a computerized local or wide area network, identifies characters in a document on which the characters are formed. The system scans the document to obtain a gray-scale image of the document, generates a binary image from the gray-scale image by comparing the gray-scale image with the threshold, segments the binary image to locate individual characters within the binary image and to determine the shape of the individual characters, extracts gray-scale image information from the gray-scale image for each such individual character based on the location and shape of the character in the binary image, recognition-processes the extracted gray scale image information to determine the identity of the character, and stores the identity of the character.