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    • 22. 发明授权
    • System and method for recognizing text information in object
    • 用于识别对象中的文本信息的系统和方法
    • US09418304B2
    • 2016-08-16
    • US13367764
    • 2012-02-07
    • Hyung-Il KooKisun YouHyun-Mook Cho
    • Hyung-Il KooKisun YouHyun-Mook Cho
    • G06K9/22G06K9/62G06K9/32
    • G06K9/228G06K9/325G06K9/6292G06K2209/01
    • A method for recognizing a text block in an object is disclosed. The text block includes a set of characters. A plurality of images of the object are captured and received. The object in the received images is then identified by extracting a pattern in one of the object images and comparing the extracted pattern with predetermined patterns. Further, a boundary of the object in each of the object images is detected and verified based on predetermined size information of the identified object. Text blocks in the object images are identified based on predetermined location information of the identified object. Interim sets of characters in the identified text blocks are generated based on format information of the identified object. Based on the interim sets of characters, a set of characters in the text block in the object is determined.
    • 公开了一种用于识别对象中的文本块的方法。 文本块包括一组字符。 拍摄和接收对象的多个图像。 然后通过提取一个对象图像中的图案并将提取的图案与预定图案进行比较来识别接收到的图像中的对象。 此外,基于所识别的对象的预定大小信息来检测和验证每个对象图像中的对象的边界。 基于所识别对象的预定位置信息来识别对象图像中的文本块。 基于所标识的对象的格式信息生成所识别的文本块中的中间字符集。 基于中间字符集,确定对象中的文本块中的一组字符。
    • 23. 发明授权
    • Methods and systems to traverse graph-based networks
    • 用于遍历图形网络的方法和系统
    • US08484154B2
    • 2013-07-09
    • US12637228
    • 2009-12-14
    • Kisun YouChristopher J. HughesYen-Kuang Chen
    • Kisun YouChristopher J. HughesYen-Kuang Chen
    • G06N7/02
    • G10L15/063G10L15/02G10L15/083G10L15/19G10L15/34
    • Methods and systems to translate input labels of arcs of a network, corresponding to a sequence of states of the network, to a list of output grammar elements of the arcs, corresponding to a sequence of grammar elements. The network may include a plurality of speech recognition models combined with a weighted finite state machine transducer (WFST). Traversal may include active arc traversal, and may include active arc propagation. Arcs may be processed in parallel, including arcs originating from multiple source states and directed to a common destination state. Self-loops associated with states may be modeled within outgoing arcs of the states, which may reduce synchronization operations. Tasks may be ordered with respect to cache-data locality to associate tasks with processing threads based at least in part on whether another task associated with a corresponding data object was previously assigned to the thread.
    • 将对应于网络状态序列的网络的弧的输入标签转换成对应于语法元素序列的弧的输出语法元素的列表的方法和系统。 网络可以包括与加权的有限状态机换能器(WFST)组合的多个语音识别模型。 遍历可能包括有效的电弧遍历,并且可能包括有效的电弧传播。 弧可以并行处理,包括源自多个源状态并被引导到公共目的地状态的弧。 与状态相关联的自环可以在状态的输出弧内被建模,这可以减少同步操作。 至少部分地基于是否将与对应的数据对象相关联的另一个任务先前分配给线程,可以针对高速缓存数据位置命令任务来将任务与处理线程相关联。
    • 24. 发明申请
    • Parallel Processing Method and Apparatus for Determining Text Information from an Image
    • 用于从图像确定文本信息的并行处理方法和装置
    • US20130011055A1
    • 2013-01-10
    • US13539797
    • 2012-07-02
    • Kisun YouHyung-Il KooHyun-Mook Cho
    • Kisun YouHyung-Il KooHyun-Mook Cho
    • G06K9/36G06K9/46
    • G06K9/325G06K9/00973G06K9/036G06K9/38G06K2209/01
    • A method for processing a multi-channel image is disclosed. The method includes generating a plurality of grayscale images from the multi-channel image. At least one text region is identified in the plurality of grayscale images and text region information is determined from the at least one text region. The method generates text information of the multi-channel image based on the text region information. If the at least one text region includes a plurality of text regions, text region information from the plurality of text regions is merged to generate the text information. The plurality of the grayscale images is processed in parallel. In identifying the at least one text region, at least one candidate text region may be identified in the plurality of grayscale images and the at least one text region may be identified in the identified candidate text region.
    • 公开了一种用于处理多通道图像的方法。 该方法包括从多声道图像生成多个灰度图像。 在多个灰度图像中识别至少一个文本区域,并且从至少一个文本区域确定文本区域信息。 该方法基于文本区域信息生成多通道图像的文本信息。 如果至少一个文本区域包括多个文本区域,则合并来自多个文本区域的文本区域信息以生成文本信息。 多个灰度图像并行处理。 在识别至少一个文本区域时,可以在多个灰度图像中识别至少一个候选文本区域,并且可以在识别的候选文本区域中识别至少一个文本区域。
    • 25. 发明申请
    • SYSTEM AND METHOD FOR RECOGNIZING TEXT INFORMATION IN OBJECT
    • 用于识别对象中的文本信息的系统和方法
    • US20130004076A1
    • 2013-01-03
    • US13367764
    • 2012-02-07
    • HYUNG-IL KOOKisun YouHyun-Mook Cho
    • HYUNG-IL KOOKisun YouHyun-Mook Cho
    • G06K9/34G06K9/18
    • G06K9/228G06K9/325G06K9/6292G06K2209/01
    • A method for recognizing a text block in an object is disclosed. The text block includes a set of characters. A plurality of images of the object are captured and received. The object in the received images is then identified by extracting a pattern in one of the object images and comparing the extracted pattern with predetermined patterns. Further, a boundary of the object in each of the object images is detected and verified based on predetermined size information of the identified object. Text blocks in the object images are identified based on predetermined location information of the identified object. Interim sets of characters in the identified text blocks are generated based on format information of the identified object. Based on the interim sets of characters, a set of characters in the text block in the object is determined.
    • 公开了一种用于识别对象中的文本块的方法。 文本块包括一组字符。 拍摄和接收对象的多个图像。 然后通过提取一个对象图像中的图案并将提取的图案与预定图案进行比较来识别接收到的图像中的对象。 此外,基于所识别的对象的预定大小信息来检测和验证每个对象图像中的对象的边界。 基于所识别对象的预定位置信息来识别对象图像中的文本块。 基于所标识的对象的格式信息生成所识别的文本块中的中间字符集。 基于中间字符集,确定对象中的文本块中的一组字符。
    • 26. 发明申请
    • METHODS AND SYSTEMS TO TRAVERSE GRAPH-BASED NETWORKS
    • 基于图表的网络的方法和系统
    • US20140156274A1
    • 2014-06-05
    • US13925150
    • 2013-06-24
    • Kisun YouChristopher J. HughesYen-Kuang Chen
    • Kisun YouChristopher J. HughesYen-Kuang Chen
    • G10L15/06G10L15/02
    • G10L15/063G06N7/005G10L15/02G10L15/083G10L15/19G10L15/34
    • Methods and systems to translate input labels of arcs of a network, corresponding to a sequence of states of the network, to a list of output grammar elements of the arcs, corresponding to a sequence of grammar elements. The network may include a plurality of speech recognition models combined with a weighted finite state machine transducer (WFST). Traversal may include active arc traversal, and may include active arc propagation. Arcs may be processed in parallel, including arcs originating from multiple source states and directed to a common destination state. Self-loops associated with states may be modeled within outgoing arcs of the states, which may reduce synchronization operations. Tasks may be ordered with respect to cache-data locality to associate tasks with processing threads based at least in part on whether another task associated with a corresponding data object was previously assigned to the thread.
    • 将对应于网络状态序列的网络的弧的输入标签转换成对应于语法元素序列的弧的输出语法元素的列表的方法和系统。 网络可以包括与加权的有限状态机换能器(WFST)组合的多个语音识别模型。 遍历可能包括有效的电弧遍历,并且可能包括有效的电弧传播。 弧可以并行处理,包括源自多个源状态并被引导到公共目的地状态的弧。 与状态相关联的自环可以在状态的输出弧内被建模,这可以减少同步操作。 至少部分地基于是否将与对应的数据对象相关联的另一个任务先前分配给线程,可以针对高速缓存数据位置命令任务来将任务与处理线程相关联。
    • 29. 发明申请
    • METHODS AND SYSTEMS TO TRAVERSE GRAPH-BASED NETWORKS
    • 基于图表的网络的方法和系统
    • US20110145184A1
    • 2011-06-16
    • US12637228
    • 2009-12-14
    • Kisun YouChristopher J. HughesYen-Kuang Chen
    • Kisun YouChristopher J. HughesYen-Kuang Chen
    • G06N5/04G06N5/02
    • G10L15/063G10L15/02G10L15/083G10L15/19G10L15/34
    • Methods and systems to translate input labels of arcs of a network, corresponding to a sequence of states of the network, to a list of output grammar elements of the arcs, corresponding to a sequence of grammar elements. The network may include a plurality of speech recognition models combined with a weighted finite state machine transducer (WFST). Traversal may include active arc traversal, and may include active arc propagation. Arcs may be processed in parallel, including arcs originating from multiple source states and directed to a common destination state. Self-loops associated with states may be modeled within outgoing arcs of the states, which may reduce synchronization operations. Tasks may be ordered with respect to cache-data locality to associate tasks with processing threads based at least in part on whether another task associated with a corresponding data object was previously assigned to the thread.
    • 将对应于网络状态序列的网络的弧的输入标签转换成对应于语法元素序列的弧的输出语法元素的列表的方法和系统。 网络可以包括与加权的有限状态机换能器(WFST)组合的多个语音识别模型。 遍历可能包括有效的电弧遍历,并且可能包括有效的电弧传播。 弧可以并行处理,包括源自多个源状态并被引导到公共目的地状态的弧。 与状态相关联的自环可以在状态的输出弧内被建模,这可以减少同步操作。 至少部分地基于是否将与对应的数据对象相关联的另一个任务先前分配给线程,可以针对高速缓存数据位置命令任务来将任务与处理线程相关联。