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. 发明申请
    • METHOD FOR RECOGNITION OF A HAND-WRITTEN PATTERN
    • 用于识别手写图案的方法
    • WO2002095667A1
    • 2002-11-28
    • PCT/SE2002/000914
    • 2002-05-15
    • DECUMA ABMATTISSON, FrederikÅSTRÖM, Kalle
    • MATTISSON, FrederikÅSTRÖM, Kalle
    • G06K9/46
    • G06K9/6255
    • A method for creating a template for hand-written pattern recognition comprises the steps of detecting (2) a plurality of variants of one hand-written pattern and extracting (4) individual features of the hand-written pattern. The method further comprises the steps of identifying (6) variations among the individual features in the variants of the hand-written pattern. The variations comprise variations of combinations of features in the variants of the hand-written pattern. The method further comprises the step of creating (8) the template for the hand-written pattern by establishing a cost function, said cost function weighting the individual features in accordance with the variations among the individual features. A device for hand-written pattern recognition comprises a detection means for detecting a hand-written pattern, a digitizer for transforming the hand-written pattern into a digital representation, and a reference database of templates for different hand-written patterns. The templates have been created according to the method for creating templates. The device further comprises a comparison means for comparing the hand-written pattern to templates of the reference database.
    • 一种用于创建用于手写图案识别的模板的方法包括以下步骤:检测(2)一个手写图案的多个变体并提取(4)手写图案的各个特征。 该方法还包括以下步骤:识别(6)手写图案变体中各个特征之间的变化。 这些变化包括手写图案变体中特征的组合的变化。 该方法还包括通过建立成本函数来创建(8)用于手写图案的模板的步骤,所述成本函数根据各个特征之间的变化加权各个特征。 用于手写图案识别的装置包括用于检测手写图案的检测装置,用于将手写图案变换为数字表示的数字化仪,以及用于不同手写图案的模板的参考数据库。 模板是根据创建模板的方法创建的。 该设备还包括用于将手写图案与参考数据库的模板进行比较的比较装置。
    • 2. 发明申请
    • A METHOD FOR ADDITIVE CHARACTER RECOGNITION AND AN APPARATUS THEREOF
    • 一种添加字符识别的方法及其装置
    • WO2007100289A2
    • 2007-09-07
    • PCT/SE2007/000184
    • 2007-02-27
    • ZI DECUMA ABSTERNBY, Jacob
    • STERNBY, Jacob
    • G06K9/62
    • G06K9/00422G06K9/00416G06K9/222
    • A method for recognition of a handwritten pattern comprising one or more curves is presented. The method comprises a step of receiving sample data representing the handwritten pattern. The method further comprises a step of segmenting the handwritten pattern by detecting segmentation points on each curve, and by dividing the handwritten pattern into segments. Further, the method comprises a step of comparing the handwritten pattern to templates wherein the comparing comprises a step of normalizing said segments according to a scheme which is independent of the templates to which the segments are to be compared, and a step of determining matching measures for selecting at least one sequence of templates representing a recognintion candidate of the handwritten pattern.
    • 提出了一种用于识别包括一个或多个曲线的手写图案的方法。 该方法包括接收表示手写图案的样本数据的步骤。 该方法还包括通过检测每个曲线上的分割点并通过将手写图案划分成段来分割手写图案的步骤。 此外,该方法包括将手写图案与模板进行比较的步骤,其中比较包括根据独立于要比较片段的模板的方案来对所述片段进行标准化的步骤,以及确定匹配度量的步骤 用于选择表示手写图案的识别候选的模板的至少一个序列。
    • 3. 发明申请
    • METHOD AND DEVICE FOR RECOGNITION OF HANDWRITTEN PATTERNS
    • 用于识别手写图案的方法和装置
    • WO2006052180A1
    • 2006-05-18
    • PCT/SE2005/001571
    • 2005-10-21
    • ZI DECUMA ABSTERNBY, JakobHOLTSBERG, Anders
    • STERNBY, JakobHOLTSBERG, Anders
    • G06K9/22
    • G06K9/00865G06K9/00409
    • 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.
    • 用于识别手写图案的方法包括:在手写图案的检测点的序列中选择核心点。 核心点被选择用于分割和识别手写图案。 该方法还包括确定每个核心点的特征,并将手写图案与模板进行比较。 比较包括通过将从先前序列的第一核心点或最后核心点开始的核心点的序列的特征与所述模板相匹配来逐步分析核心点,并计算距离值,并且分配累积距离 值到核心点的匹配序列中的最后核心点,由此最小累积距离值被分配给最后的核心点,并且对应于表示手写图案的可能识别结果的匹配模板序列。
    • 4. 发明申请
    • METHOD FOR CHARACTER RECOGNITION
    • 字符识别方法
    • WO2008066441A1
    • 2008-06-05
    • PCT/SE2007/001015
    • 2007-11-19
    • ZI DECUMA ABSTERNBY, Jakob
    • STERNBY, Jakob
    • G06K9/00G06F3/00
    • G06K9/00416G06K9/00872
    • The present invention generally describes a method for classifying a line segment of a handwritten line into a reference feature set, wherein said handwritten line comprises one or several curves representing a plurality of symbols. First, sample data representing said handwritten line is received. Next, a sample line segment in said received sample data is identified by detecting a sample line segment start point (SLSSP) and a sample line segment end point (SLSEP). Then, a sample feature set of said identified sample line segment is determined. Finally, the determined sample feature set is matched to a reference feature set among a plurality of reference feature sets.
    • 本发明总体上描述了一种用于将手写线的线段分类为参考特征集的方法,其中所述手写线包括表示多个符号的一条或多条曲线。 首先,接收表示所述手写行的样本数据。 接下来,通过检测采样线段起始点(SLSSP)和采样线段终点(SLSEP)来识别所述接收的采样数据中的采样线段。 然后,确定所述识别的采样线段的采样特征集。 最后,将确定的样本特征集合与多个参考特征集中的参考特征集进行匹配。
    • 5. 发明申请
    • SEGMENTATION-BASED RECOGNITION
    • 基于分段的识别
    • WO2006091155A1
    • 2006-08-31
    • PCT/SE2006/000240
    • 2006-02-24
    • ZI DECUMA ABSTERNBY, Jakob
    • STERNBY, Jakob
    • G06K9/22G06K9/00
    • G06K9/00872G06K9/00416
    • 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 identifying potential diacritics in the sequence of points of the handwritten pattern, determining features of each core point, assigning at least one feature associated with a identified potential diacritics to each core point of a subset of core points, 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.
    • 用于识别手写图案的方法包括:在手写图案的检测点的序列中选择核心点。 核心点被选择用于分割和识别手写图案。 该方法还包括识别手写图案的点序列中的潜在变异,确定每个核心点的特征,将与识别的潜在变音符相关联的至少一个特征分配给核心点的子集的每个核心点,以及比较手写的 模式到模板。 比较包括通过将从先前序列的第一核心点或最后核心点开始的核心点的序列的特征与所述模板相匹配来逐步分析核心点,并计算距离值,并且分配累积距离 值到核心点的匹配序列中的最后核心点,由此最小累积距离值被分配给最后的核心点,并且对应于表示手写图案的可能识别结果的匹配模板序列。
    • 6. 发明申请
    • PRESENTING RECOGNISED HANDWRITTEN SYMBOLS
    • 提供认可的手写符号
    • WO2004017253A1
    • 2004-02-26
    • PCT/SE2003/001226
    • 2003-07-18
    • DECUMA ABOKNELID, ErikaPERSSON, Magnus
    • OKNELID, ErikaPERSSON, Magnus
    • G06K9/68
    • G06K9/222
    • A method for presenting recognised handwritten symbols comprises the steps of recognising the detected handwritten pattern. The step of recognising comprises comparing the handwritten pattern to templates representing ways of writing symbols and returning a best interpretation of the handwritten pattern, said best interpretation being based on the pattern of a best template. At least two templates comprise different patterns which represent different ways of writing a single symbol, and the patterns of the at least two templates return different best interpretations when being most similar to the handwritten pattern. The method further comprises the step of presenting the pattern of the best template on a screen. A device for implementing the method is also disclosed.
    • 用于呈现识别的手写符号的方法包括识别检测到的手写图案的步骤。 识别的步骤包括将手写图案与表示写入符号的方式的模板进行比较并返回手写图案的最佳解释,所述最佳解释基于最佳模板的图案。 至少两个模板包括表示写入单个符号的不同方式的不同图案,并且当与手写图案最相似时,至少两个模板的图案返回不同的最佳解释。 该方法还包括在屏幕上呈现最佳模板的图案的步骤。 还公开了一种用于实现该方法的装置。
    • 7. 发明申请
    • PRESENTATION OF A RECOGNITION OF A HANDWRITTEN PATTERN
    • 陈述手写画面的识别
    • WO2002103619A1
    • 2002-12-27
    • PCT/SE2002/001151
    • 2002-06-14
    • DECUMA ABLINDBERG, MartinNORDENHAKE, Magnus
    • LINDBERG, MartinNORDENHAKE, Magnus
    • G06K9/68
    • G06K9/2081G06K9/033G06K2209/011
    • A method for presentation of a recognition of a handwritten pattern comprises the steps of detecting a handwritten pattern that is entered by a user on an input area on a screen, and recognizing the detected handwritten pattern. The step of recognizing returns a best interpretation of the handwritten pattern and at least one alternative interpretation of the handwritten pattern. The method further comprises the steps of presenting the best interpretation in a presentation area on the screen, wherein the presentation area overlaps the input area, and presenting the at least one alternative interpretation in the presentation area. A device for recognition of a handwritten pattern comprises a screen for user interaction, which screen comprises an input area, which is sensitive to handwritting, and a presentation area, which overlaps the input area.
    • 用于呈现手写图案识别的方法包括以下步骤:检测用户在屏幕上的输入区域上输入的手写图案,以及识别检测到的手写图案。 识别的步骤返回手写图案的最佳解释和手写图案的至少一个替代解释。 该方法还包括以下步骤:在屏幕上的呈现区域中呈现最佳解释,其中呈现区域与输入区域重叠,并且在呈现区域中呈现至少一个替代解释。 用于识别手写图案的设备包括用于用户交互的屏幕,该屏幕包括对写手敏感的输入区域和与输入区域重叠的呈现区域。
    • 8. 发明申请
    • METHOD AND DEVICE FOR RECOGNITION OF A HANDWRITTEN PATTERN
    • 用于识别手写图案的方法和装置
    • WO2002071318A1
    • 2002-09-12
    • PCT/SE2002/000217
    • 2002-02-08
    • DECUMA ABMORWING, JonasSPARR, Gunnar
    • MORWING, JonasSPARR, Gunnar
    • G06K9/00
    • G06K9/222
    • A method for recognition of a handwritten pattern comprises the steps of forming (4) a representation of the handwritten pattern, forming (6) at least two subconfigurations by dividing the representation of the handwritten pattern, and processing the subconfigurations. The step of processing comprises the steps of comparing (8) each subconfiguration with reference configurations, selecting (10) at least one subconfiguration candidate for each subconfiguration among the reference configurations based on said step of comparing, and determining (12) at least one candidate pattern consisting of one selected subconfiguration candidate for each subconfiguration. The method further comprises the steps of comparing (14) the representation of the handwritten pattern to the candidate pattern, and computing (16) a cost function in order to find a closest matching candidate pattern. The cost function is based on the comparing of the representation of the handwritten pattern to the candidate pattern and on the comparing of the subconfigurations to the selected subconfiguration candidates in the candidate pattern.
    • 用于识别手写图案的方法包括以下步骤:形成(4)手写图案的表示,通过划分手写图案的表示形成(6)至少两个子配置,以及处理子配置。 处理步骤包括以下步骤:将每个子配置与参考配置进行比较(10),基于所述比较步骤,在参考配置中选择(10)每个子配置的至少一个子配置候选,并确定(12)至少一个候选 模式由每个子配置的一个选择的子配置候选组成。 该方法还包括以下步骤:将手写图案的表示与候选图案进行比较(14),并计算(16)成本函数,以便找到最接近的匹配候选图案。 成本函数是基于将手写图案的表示与候选模式进行比较,以及将子配置与候选模式中选择的子配置候选进行比较。
    • 9. 发明申请
    • A METHOD FOR ADDITIVE CHARACTER RECOGNITION AND AN APPARATUS THEREOF
    • 一种添加特征识别方法及其装置
    • WO2007100289A3
    • 2007-11-08
    • PCT/SE2007000184
    • 2007-02-27
    • ZI DECUMA ABSTERNBY JACOB
    • STERNBY JACOB
    • G06K9/62
    • G06K9/00422G06K9/00416G06K9/222
    • A method for recognition of a handwritten pattern comprising one or more curves is presented. The method comprises a step of receiving sample data representing the handwritten pattern. The method further comprises a step of segmenting the handwritten pattern by detecting segmentation points on each curve, and by dividing the handwritten pattern into segments. Further, the method comprises a step of comparing the handwritten pattern to templates wherein the comparing comprises a step of normalizing said segments according to a scheme which is independent of the templates to which the segments are to be compared, and a step of determining matching measures for selecting at least one sequence of templates representing a recognintion candidate of the handwritten pattern.
    • 提出了一种用于识别包括一条或多条曲线的手写图案的方法。 该方法包括接收表示手写图案的样本数据的步骤。 该方法还包括通过检测每条曲线上的分割点并通过将手写图案分割成分段来分割手写图案的步骤。 此外,所述方法包括将手写图案与模板进行比较的步骤,其中所述比较包括根据独立于要比较片段的模板的方案对所述片段进行归一化的步骤,以及确定匹配测量的步骤 用于选择表示手写图案的识别候选者的至少一个模板序列。
    • 10. 发明申请
    • RECOGNITION GRAPH
    • 识别图
    • WO2006091156A1
    • 2006-08-31
    • PCT/SE2006/000241
    • 2006-02-24
    • ZI DECUMA ABSTERNBY, Jakob
    • STERNBY, Jakob
    • G06K9/22G06K9/00
    • G06K9/00872G06K9/00416
    • A method for determining at least one recognition candidate for a handwritten pattern comprises selecting possible segmentation points in the handwritten pattern for use in segmenting and recognizing the handwritten pattern. The method further comprises comparing segments of the handwritten pattern to templates. The comparison returns segment candidates forming possible recognition results of the segments of the handwritten pattern. The method further comprises forming a representation of sequences of segment candidates, said representation comprising data blocks corresponding to segmentation points, wherein a data block comprises references to data blocks corresponding to subsequent segmentation points. The reference comprises information of segment candidates. The method further comprises comparing the representation of the sequences of segment candidates to a dictionary, finding sequences of segment candidates that correspond to allowed sequences of symbols in the dictionary, and returning at least one of these allowed sequences of symbols as a recognition candidate for the handwritten pattern.
    • 一种用于确定手写图案的至少一个识别候选的方法包括:选择手写图案中可能的分割点用于分割和识别手写图案。 该方法还包括将手写图案的片段与模板进行比较。 比较返回片段候选,形成手写图案的段的可能的识别结果。 所述方法还包括形成片段候选序列的表示,所述表示包括对应于分割点的数据块,其中数据块包括对与后续分割点相对应的数据块的引用。 参考文献包括段候选人的信息。 该方法还包括将片段候选序列的表示与字典进行比较,找到与字典中允许的符号序列相对应的片段候选序列,并将这些允许的符号序列中的至少一个作为候选的候选符号返回 手写图案。