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Method for learning text recognition, method for recognizing text using the same, and apparatus for learning text recognition, apparatus for recognizing text using the same
Method for learning text recognition, method for recognizing text using the same, and apparatus for learning text recognition, apparatus for recognizing text using the same
A method for learning parameters used to recognize characters included in a text in a scene text image of training set is provided. The method includes steps of: (a) a training apparatus generating each feature vector corresponding to each of the segmented character images; (b) the training apparatus processing feature vectors ci+j of neighboring character images to thereby generate a support vector to be used for a recognition of a specific character image; (c) the training apparatus obtaining a merged vector by executing a computation with the support vector and a feature vector ci of the specific character image; and (d) the training apparatus (i) performing a classification of the specific character image as a letter included in a predetermined set of letters by referring to the merged vector; and (ii) adjusting the parameters by referring to a result of the classification.
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机译:提供了一种用于学习用于识别训练集的场景文本图像中的文本中包括的字符的参数的方法。该方法包括以下步骤:(a)训练设备生成与每个分割后的字符图像相对应的每个特征向量; (b)训练设备处理相邻人物图像的特征向量c i + j Sub>,从而生成用于识别特定人物图像的支持向量; (c)训练设备通过利用特定字符图像的支持向量和特征向量c i Sub>执行计算来获得合并向量; (d)训练装置(i)通过参照合并矢量,将特定字符图像分类为规定的一组字母中包含的字母。 (ii)参考分类结果来调整参数。
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