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    • 6. 发明申请
    • Handwritten Word Recognition Using Nearest Neighbor Techniques That Allow Adaptive Learning
    • 使用允许自适应学习的最近邻技术的手写词识别
    • US20080107340A1
    • 2008-05-08
    • US11972913
    • 2008-01-11
    • Thomas KwokMichael Perrone
    • Thomas KwokMichael Perrone
    • G06K9/18
    • G06K9/00852
    • A handwritten word is transcribed into a list of possibly correct transcriptions of the handwritten word. The list contains a number of text words, and this list is compared with previously stored set of lists of text words. Based on a metric, one or more nearest neighbor lists are selected from the set. A decision is made, according to a number of combination rules, as to which text word in the nearest neighbor lists or the recently transcribed list is the best transcription of the handwritten word. This best transcription is selected as the appropriate text word transcription of the handwritten word. The selected word is compared to a true transcription of the selected word Machine learning techniques are used when the selected and true transcriptions differ. The machine learning techniques create or update rules that are used to determine which text word of the nearest neighbor lists or the recently transcribed list is the correct transcription of the handwritten word
    • 手写词被转录成手写词的可能正确转录的列表。 该列表包含多个文本字,并将该列表与之前存储的文本列表集进行比较。 基于度量,从集合中选择一个或多个最近邻居列表。 根据多个组合规则,决定最近邻居列表中的哪个文本字或最近转录的列表是手写词的最佳转录。 这个最好的录音被选为手写词的适当的文字转录。 将所选择的词与所选择的词的真实转录进行比较当所选择的和真实的转录不同时,使用机器学习技术。 机器学习技术创建或更新用于确定最近邻居列表的文本字或最近转录的列表是手写词的正确转录的规则