论文讨论了一种通过自然语言语义层次的理解来协助提高脱机手写体识别率的方法。
In this paper, we discuss a new method to effectively improve offline handwritten character recognition through semantic analysis.
脱机手写体识别是字符识别中的难点之一，日文中的平假名类似于中文的手写体草书。
Hiragana is similar to Chinese cursive writing which is a difficult topic in character recognition field.
脱机手写体汉字识别是汉字识别领域中最难的课题。
Off-line handwritten Chinese character recognition is the most difficult problem in character recognition.
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