会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 1. 发明授权
    • Character recognition processing method and apparatus
    • 字符识别处理方法和装置
    • US08254689B2
    • 2012-08-28
    • US12652556
    • 2010-01-05
    • Yutaka KatsuyamaYoshinobu HottaKatsuhito Fujimoto
    • Yutaka KatsuyamaYoshinobu HottaKatsuhito Fujimoto
    • G06K9/46
    • G06K9/627G06K2209/01
    • This method includes: extracting a feature vector for an input character from a reading result of the input character; calculating distances between the feature vector for the input character and vectors including average vectors stored in a system dictionary storing, for each character, the average vector and distribution information, and feature vectors stored in a user dictionary; extracting the top N character codes in an ascending order of the calculated distances; obtaining second distribution information for the character codes, which are included the user dictionary and in the top N character codes; calculating, for each of the top N character codes, a second distance with the feature vector for the input character, by using, for the character codes, which are included in the user dictionary and in the top N character codes, the second distribution information; and identifying a character code whose second distance is shortest.
    • 该方法包括:从输入字符的读取结果中提取输入字符的特征向量; 计算输入字符的特征向量之间的距离和包括存储在存储在用户字典中的每个字符的平均向量和分布信息以及特征向量的系统字典中的平均向量的向量。 以计算出的距离的升序提取前N个字符代码; 获取包括用户字典和前N个字符代码的字符代码的第二分发信息; 对于前N个字符代码中的每一个,对于输入字符的特征向量,通过使用包括在用户字典中的字符代码和前N个字符代码来计算第二分配信息 ; 并识别其第二距离最短的字符码。
    • 3. 发明申请
    • CHARACTER RECOGNITION PROCESSING METHOD AND APPARATUS
    • 字符识别处理方法和装置
    • US20100104192A1
    • 2010-04-29
    • US12652556
    • 2010-01-05
    • Yutaka KatsuyamaYoshinobu HottaKatsuhito Fujimoto
    • Yutaka KatsuyamaYoshinobu HottaKatsuhito Fujimoto
    • G06K9/46
    • G06K9/627G06K2209/01
    • This method includes: extracting a feature vector for an input character from a reading result of the input character; calculating distances between the feature vector for the input character and vectors including average vectors stored in a system dictionary storing, for each character, the average vector and distribution information, and feature vectors stored in a user dictionary; extracting the top N character codes in an ascending order of the calculated distances; obtaining second distribution information for the character codes, which are included the user dictionary and in the top N character codes; calculating, for each of the top N character codes, a second distance with the feature vector for the input character, by using, for the character codes, which are included in the user dictionary and in the top N character codes, the second distribution information; and identifying a character code whose second distance is shortest.
    • 该方法包括:从输入字符的读取结果中提取输入字符的特征向量; 计算输入字符的特征向量之间的距离和包括存储在存储在用户字典中的每个字符的平均向量和分布信息以及特征向量的系统字典中的平均向量的向量。 以计算出的距离的升序提取前N个字符代码; 获取包括用户字典和前N个字符代码的字符代码的第二分发信息; 对于前N个字符代码中的每一个,对于输入字符的特征向量,通过使用包括在用户字典中的字符代码和前N个字符代码来计算第二分配信息 ; 并识别第二距离最短的字符码。
    • 5. 发明申请
    • Layout analysis program, layout analysis apparatus and layout analysis method
    • 布局分析程序,布局分析仪器和布局分析方法
    • US20070140560A1
    • 2007-06-21
    • US11384327
    • 2006-03-21
    • Yutaka KatsuyamaHiroaki TakebeKoji KurokawaKatsuhito Fujimoto
    • Yutaka KatsuyamaHiroaki TakebeKoji KurokawaKatsuhito Fujimoto
    • G06K9/34
    • G06K9/00463
    • A layout analysis program, a layout analysis apparatus, layout analysis method and a medium can highly accurately extract a text block from an image if the image is a color image. The layout analysis program causes a computer to execute a divided region extracting step that extracts a region partitioned by a pattern according to a binary image so as to use the outcome of extraction as divided region, a set of character elements extracting step that extracts a set of the character elements extracted by a first binary image layout analysis process for each extracted divided region so as to use the outcome of extraction as set of character elements, a text block extracting step that extracts a region including the extracted set of character elements in each divided region so as to avoid overlapping the non-character elements extracted by a second binary image layout analysis process and use the outcome of extraction as text block and a layout information generating step that generates layout information according to the text block and the non-character elements extracted by the second binary image layout analysis process.
    • 如果图像是彩色图像,则布局分析程序,布局分析装置,布局分析方法和介质可以从图像高精度地提取文本块。 布局分析程序使计算机执行划分区域提取步骤,其提取根据二进制图像的图案划分的区域,以便将提取的结果用作划分区域,提取一组字符元素提取步骤 通过对于每个提取的分割区域的第一二进制图像布局分析处理提取的字符元素,以便将提取的结果用作字符元素的集合;文本块提取步骤,提取包括提取的每个字符元素集合的区域 以避免与通过第二二进制图像布局分析处理提取的非字符元素重叠并使用提取结果作为文本块和布局信息生成步骤,根据文本块和非字符生成布局信息 通过第二个二进制图像布局分析过程提取的元素。
    • 6. 发明授权
    • Layout analysis program, layout analysis apparatus and layout analysis method
    • 布局分析程序,布局分析仪器和布局分析方法
    • US07711189B2
    • 2010-05-04
    • US11384327
    • 2006-03-21
    • Yutaka KatsuyamaHiroaki TakebeKoji KurokawaKatsuhito Fujimoto
    • Yutaka KatsuyamaHiroaki TakebeKoji KurokawaKatsuhito Fujimoto
    • G06K9/34G06K9/46G06K9/00
    • G06K9/00463
    • A layout analysis program, a layout analysis apparatus, layout analysis method and a medium can highly accurately extract a text block from an image if the image is a color image. The layout analysis program causes a computer to execute a divided region extracting step that extracts a region partitioned by a pattern according to a binary image so as to use the outcome of extraction as divided region, a set of character elements extracting step that extracts a set of the character elements extracted by a first binary image layout analysis process for each extracted divided region so as to use the outcome of extraction as set of character elements, a text block extracting step that extracts a region including the extracted set of character elements in each divided region so as to avoid overlapping the non-character elements extracted by a second binary image layout analysis process and use the outcome of extraction as text block and a layout information generating step that generates layout information according to the text block and the non-character elements extracted by the second binary image layout analysis process.
    • 如果图像是彩色图像,则布局分析程序,布局分析装置,布局分析方法和介质可以从图像高精度地提取文本块。 布局分析程序使计算机执行划分区域提取步骤,其提取根据二进制图像的图案划分的区域,以便将提取的结果用作划分区域,提取一组字符元素提取步骤 通过对于每个提取的分割区域的第一二进制图像布局分析处理提取的字符元素,以便将提取的结果用作字符元素的集合;文本块提取步骤,提取包括提取的每个字符元素集合的区域 以避免与通过第二二进制图像布局分析处理提取的非字符元素重叠并使用提取结果作为文本块和布局信息生成步骤,根据文本块和非字符生成布局信息 通过第二个二进制图像布局分析过程提取的元素。
    • 9. 发明授权
    • Grayscale character dictionary generation apparatus
    • 灰度字符字典生成装置
    • US07532756B2
    • 2009-05-12
    • US11329407
    • 2006-01-11
    • Sun JunYoshinobu HottaYutaka KatsuyamaSatoshi Naoi
    • Sun JunYoshinobu HottaYutaka KatsuyamaSatoshi Naoi
    • G06K9/18G06K9/62G06K9/34
    • G06K9/6857G06K9/6255G06K2209/01
    • A grayscale character dictionary generation apparatus, comprising a first synthetic grayscale degraded character image generation unit for generating first synthetic grayscale degraded character images using binary character images inputted therein; a clustering unit for dividing each category of the first synthetic grayscale degraded character images generated by the first synthetic grayscale degraded character image generation unit into a plurality of clusters; a template generation unit for generating template for each of the clusters; a transformation matrix generation unit for generating transformation matrix in relation to each of the templates; and a second synthetic grayscale degraded character dictionary generation unit for obtaining character feature of every grayscale degraded character of each of the clusters using the transformation matrix, and for constructing eigenspace of each category of the synthetic grayscale degraded character, which is the second synthetic grayscale character dictionary.
    • 一种灰度字符字典生成装置,包括:第一合成灰度级退化字符图像生成单元,用于使用输入的二进制字符图像生成第一合成灰度级退化字符图像; 聚类单元,用于将由第一合成灰度级降级字符图像生成单元生成的第一合成灰阶降级字符图像的每个类别划分为多个聚类; 用于为每个簇生成模板的模板生成单元; 变换矩阵生成单元,用于生成关于每个模板的变换矩阵; 以及第二合成灰阶降级字符字典生成单元,用于使用所述变换矩阵来获得每个所述聚类的每个灰度级退化特征的特征,并且用于构建作为所述第二合成灰度字符的所述合成灰度级退化字符的每个类别的本征空间 字典。