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    • 3. 发明授权
    • Word recognition of text undergoing an OCR process
    • 对正在进行OCR流程的文本的Word识别
    • US08401293B2
    • 2013-03-19
    • US12772376
    • 2010-05-03
    • Aleksandar AntonijevicIvan MiticMircea CimpoiDjordje Nijemcevic
    • Aleksandar AntonijevicIvan MiticMircea CimpoiDjordje Nijemcevic
    • G06K9/00
    • G06K9/344G06K2209/01
    • A method for identifying words in a textual image undergoing optical character recognition includes receiving a bitmap of an input image which includes textual lines that have been segmented by a plurality of chop lines. The chop lines are each associated with a confidence level reflecting a degree to which the respective chop line properly segments the textual line into individual characters. One or more words are identified in one of the textual lines based at least in part on the textual lines and a first subset of the plurality of chop lines which have a chop line confidence level above a first threshold value. If the first word is not associated with a sufficiently high word confidence level, at least a second word in the textual line is identified based at least in part on a second subset of the plurality of chop lines which have a confidence level above a second threshold value lower than the first threshold value.
    • 用于识别进行光学字符识别的文本图像中的单词的方法包括:接收包括已经被多个chop行划分的文本行的输入图像的位图。 斩线各自与置信水平相关联,该置信度反映了各剁行将文本行适当地分割成单个字符的程度。 至少部分地基于文本行和多条斩波线的第一子集具有高于第一阈值的斩线置信水平,在一条文本行中识别一个或多个字。 如果第一个字没有与足够高的字词置信水平相关联,则文本行中的至少第二个字词至少部分地基于具有高于第二阈值的置信水平的多个chop行的第二子集来识别 值低于第一阈值。
    • 5. 发明申请
    • WORD RECOGNITION OF TEXT UNDERGOING AN OCR PROCESS
    • WORD承认OCR过程的文字
    • US20110268360A1
    • 2011-11-03
    • US12772376
    • 2010-05-03
    • Aleksandar AntonijevicIvan MiticMircea CimpoiDjordje Nijemcevic
    • Aleksandar AntonijevicIvan MiticMircea CimpoiDjordje Nijemcevic
    • G06K9/34
    • G06K9/344G06K2209/01
    • A method for identifying words in a textual image undergoing optical character recognition includes receiving a bitmap of an input image which includes textual lines that have been segmented by a plurality of chop lines. The chop lines are each associated with a confidence level reflecting a degree to which the respective chop line properly segments the textual line into individual characters. One or more words are identified in one of the textual lines based at least in part on the textual lines and a first subset of the plurality of chop lines which have a chop line confidence level above a first threshold value. If the first word is not associated with a sufficiently high word confidence level, at least a second word in the textual line is identified based at least in part on a second subset of the plurality of chop lines which have a confidence level above a second threshold value lower than the first threshold value.
    • 用于识别进行光学字符识别的文本图像中的单词的方法包括:接收包括已经被多个chop行划分的文本行的输入图像的位图。 斩线各自与置信水平相关联,该置信度反映了各剁行将文本行适当地分割成单个字符的程度。 至少部分地基于文本行和多条斩波线的第一子集具有高于第一阈值的斩线置信水平,在一条文本行中识别一个或多个字。 如果第一个字没有与足够高的字词置信水平相关联,则文本行中的至少第二个字词至少部分地基于具有高于第二阈值的置信水平的多个chop行的第二子集来识别 值低于第一阈值。