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    Cursive character handwriting recognition system and method
    71.
    发明申请
    Cursive character handwriting recognition system and method 有权
    草书字符手写识别系统及方法

    公开(公告)号：US20080123940A1

    公开(公告)日：2008-05-29

    申请号：US11605415

    申请日：2006-11-29

    申请人： Amlan Kundu ,  Linda C. Van Guilder ,  Tom Hines ,  Ben Huyck ,  Jon Phillips

    发明人： Amlan Kundu ,  Linda C. Van Guilder ,  Tom Hines ,  Ben Huyck ,  Jon Phillips

    IPC分类号： G06K9/18 ,  G06K9/62

    CPC分类号： G06K9/00865

    摘要： A cursive character handwriting recognition system includes image processing means for processing an image of a handwritten word of one or more characters and classification means for determining an optimal string of one or more characters as composing the imaged word. The processing means segments the characters such that each character is made up of one or more segments and determines a sequence of the segments using an over-segmentation-relabeling algorithm. The system also includes feature extraction means for deriving a feature vector to represent feature information of one segment or a combination of several consecutive segments. The over-segmentation-relabeling algorithm places certain segments considered as diacritics or small segments so as to immediately precede or follow a segment of the associated main character body. Additionally, the system also includes classification means that processes each string of segments and outputs a number of optimal strings which could be matched against a given lexicon.

    摘要翻译： 草书字符手写识别系统包括用于处理一个或多个字符的手写词的图像的图像处理装置和用于确定一个或多个字符的最佳字符串构成成像字的分类装置。 处理装置分割字符，使得每个字符由一个或多个片段组成，并使用过分割重新标签算法确定片段的序列。 该系统还包括用于导出特征向量以表示一个段的特征信息或几个连续段的组合的特征提取装置。 过分割重新标签算法将某些段视为变音符号或小段，以便在相关联的主角体之前立即前后。 此外，该系统还包括分类装置，其处理每个分段串并且输出可以与给定词典匹配的多个最佳字符串。

    Segmentation-based recognition
    72.
    发明申请
    Segmentation-based recognition 有权

    公开(公告)号：US20060110041A1

    公开(公告)日：2006-05-25

    申请号：US11270858

    申请日：2005-11-09

    申请人： Anders Holtsberg ,  Jakob Sternby

    发明人： Anders Holtsberg ,  Jakob Sternby

    IPC分类号： G06K9/18

    CPC分类号： G06K9/00865 ,  G06K9/00409

    摘要： A method for recognition of a handwritten pattern comprises selecting core points among a sequence of detected points of the handwritten pattern. The core points are selected for use in segmenting and recognizing the handwritten pattern. The method further comprises determining features of each core point, and comparing the handwritten pattern to templates. The comparing comprises stepwise analyzing the core points in sequence by matching the features of sequences of core points that either start with the first core point or the last core point of a previous sequence to said templates and calculating a distance value, and assigning a cumulative distance value to the last core point in the matched sequence of core points, whereby a smallest cumulative distance value is assigned to the last core point and corresponds to a sequence of matched templates which represent a possible recognition result of the handwritten pattern.

    System for recognizing handwritten words of cursive script
    73.
    发明授权
    System for recognizing handwritten words of cursive script 失效
    用于识别草写脚本的手写词的系统

    公开(公告)号：US5515455A

    公开(公告)日：1996-05-07

    申请号：US236252

    申请日：1994-05-02

    申请人： Venugopal Govindaraju ,  Dacheng Wang ,  Sargur Srihari

    发明人： Venugopal Govindaraju ,  Dacheng Wang ,  Sargur Srihari

    IPC分类号： G06K9/00

    CPC分类号： G06K9/00865

    摘要： A system for recognizing handwritten words of cursive script by extracting temporal information from static text is described. The temporal information consists of the shape, location and temporal sequence of the segments, or "primitives", constituting the word and is translated from bit maps images of the words into digital information format. By comparing the digital information with formatted digital information for a plurality of known words, as may be stored in computer memory, a list of words having a relatively high probability of matching the static text is generated, and used for word recognition by a process of selecting the most likely match.

    摘要翻译： 描述了通过从静态文本中提取时间信息来识别草书脚本的手写词的系统。 时间信息由构成该单词的段或“基元”的形状，位置和时间序列组成，并从单词的位图图像转换为数字信息格式。 通过将数字信息与用于多个已知字的格式化数字信息进行比较，可以存储在计算机存储器中，产生具有匹配静态文本的相对较高概率的单词列表，并用于通过 选择最可能的匹配。

    Method and apparatus for recognizing cursive writing from sequential input information
    74.
    发明授权
    Method and apparatus for recognizing cursive writing from sequential input information 失效
    用于从顺序输入信息识别草书写入的方法和装置

    公开(公告)号：US5313527A

    公开(公告)日：1994-05-17

    申请号：US954351

    申请日：1992-09-24

    申请人： Shelja A. Guberman ,  Ilia Lossev ,  Alexander V. Pashintsev

    发明人： Shelja A. Guberman ,  Ilia Lossev ,  Alexander V. Pashintsev

    IPC分类号： G06K9/00 ,  G06K9/22 ,  G06K9/72

    CPC分类号： G06K9/72 ,  G06K9/00416 ,  G06K9/00429 ,  G06K9/00859 ,  G06K9/00865 ,  G06K9/00872 ,  G06K9/222 ,  G06K2209/01

    摘要： A method and apparatus for cursive script recognition employs an intermediate cursive words description language constructed of elements in the form of metastrokes wherein each of the metastrokes is a member of a metric space, the metric space being expressible as a matrix of likelihood of matching between input metastrokes and predefined metastrokes forming a vocabulary. Typically, a minimum of twenty metastrokes is used to form the vocabulary or set of allowable stroke elemental shapes, although as many as seventy may be used, with a correlation factor or measurement of similarity being defined between strings of metastrokes. Techniques for interpreting the metastrokes as words include substituting, adding, and deleting metastrokes in an input sequence, measuring similarity and comparing with entries in a dictionary of words constructed of metastroke sequences and variants of metastroke sequences. Weighting of similarity may include penalties for lack of similarity.

    摘要翻译： 用于草书脚本识别的方法和装置使用由metastro的形式构成的元素构成的中间草书词描述语言，其中每个metastro是度量空间的成员，该度量空间可表示为输入之间的匹配似然矩阵 metastro和预定义的metastrokes形成一个词汇。 通常，尽管可以使用多达七十个词，但是使用至少二十个字符来形成允许的笔画元素形式的词汇或一组，其中相关因子或相似度的测量在metastro的串之间被定义。 将metastro的术语解释为包括在输入序列中替换，添加和删除metastrokes，测量相似度并与metastroke序列和metastroke序列变体构建的词典中的条目进行比较。 相似度的加权可能包括缺乏相似性的惩罚。

    METHOD OF PROCESSING AND RECOGNIZING HAND-WRITTEN CHARACTERS
    75.
    发明申请
    METHOD OF PROCESSING AND RECOGNIZING HAND-WRITTEN CHARACTERS 审中-公开

    公开(公告)号：US20190220684A1

    公开(公告)日：2019-07-18

    申请号：US16363544

    申请日：2019-03-25

    申请人： Boston Inventions, LLC

    发明人： Samuel David Provencher

    IPC分类号： G06K9/34 ,  G06K9/00

    CPC分类号： G06K9/344 ,  G06K9/00416 ,  G06K9/00422 ,  G06K9/00865 ,  G06K9/72

    摘要： The present disclosure relates to a method and system of processing original handwriting input, the system and method being capable of recognize a plurality of strokes provided on the input recognition interface, the method including: determining a stroke box around each stroke; determining overlap between the stroke boxes; correlating overlapping stroke boxes to one or more characters; providing a character box around each of the one or more characters; determining overlap between character boxes; correlating overlapping character boxes to one or more words; providing a word box around each of the one or more words; provide a word margin around each of the one or more word boxes; determining overlap between each word box to determine a line; wherein each of the characters, words, or lines can be individually selected and rearranged, the system automatically adjusting spacing or placement of surrounding elements to allow for the rearrangement.

    ANALOG STROKES TO DIGITAL INK STROKES
    76.
    发明申请
    ANALOG STROKES TO DIGITAL INK STROKES 审中-公开

    公开(公告)号：US20180300541A1

    公开(公告)日：2018-10-18

    申请号：US15490738

    申请日：2017-04-18

    申请人： Microsoft Technology Licensing, LLC

    发明人： Ian Mikutel ,  Lisa C. Cherian ,  Nassr Albahadly ,  Gilles L. Peron

    IPC分类号： G06K9/00 ,  G06K9/72

    CPC分类号： G06K9/00416 ,  G06K9/00865 ,  G06K9/6271 ,  G06K2209/01

    摘要： Analog written content of handwritten drawings or written characters can be transformed into digital ink via an analog-to-ink service. The analog-to-ink service can receive a static image of the analog written content, extract analog strokes from other information, such as background, in the static image, and then convert the analog strokes to digital ink strokes, for example, by populating an ink container with at least two parameters for defining the digital ink strokes. The at least two parameters can include a pressure, at tilt, a direction, a beginning point, an end point, a direction, a color, an order, an overlap, a language, and a time. The analog-to-ink service can provide the ink container to a content creation application that supports inking so that a user can manipulate the content in an inking environment.