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Novel structure-recognition-based OCR system and its parallel VLSI architecture

机译：基于新型结构识别的OCR系统及其并行VLSI架构

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Abstract: ose a structure pattern recognition based OCR system for printed text recognition. The segmentation algorithm is a raster- scan based one that reduces memory access time a great deal. The feature extract algorithm is a chain-code encoding based graph traversal algorithm. It has an advantage of single memory access for each pixel while most graph traversal algorithms require multiple scans of the entire image. While traversing a thinned character, structural feature is automatically extracted. The classification is a process of tree search in the structure feature space that is created during the training process. The segmentation, thinning, and feature extraction algorithms are all raster-scan based algorithms that can be implemented by a parallel systolic array architecture. !7
机译：摘要：一种基于结构模式识别的OCR系统用于印刷文本识别。分段算法是一种基于光栅扫描的算法，可大大减少内存访问时间。特征提取算法是基于链码编码的图遍历算法。它的优点是每个像素都可以进行单个存储器访问，而大多数图形遍历算法都需要对整个图像进行多次扫描。遍历稀疏字符时，结构特征会自动提取。分类是在训练过程中创建的结构特征空间中的树搜索过程。分割，细化和特征提取算法都是基于光栅扫描的算法，可以通过并行脉动阵列架构来实现。 ！7

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