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公开(公告)号：US5033099A
公开(公告)日：1991-07-16
申请号：US559588
申请日：1990-07-30
CPC分类号： G06K9/68 , G06K9/48 , G06K2209/01
摘要： A model for a previously defined form is provided in terms of directional features for particular evaluation points and shift vectors from one evaluation point to the next. An input image is represented by density gradients for different directional planes. Shift operations for a counter plane which is used to accumulate values for evaluating the similarity between the image and the model, and add operations in which values from input directional planes as specified by the model are added to the counter plane, are performed repeatedly by parallel processing to find the total match with the model for the form.
摘要翻译： 根据特定评估点的方向特征和从一个评估点到下一个评估点的移动向量，提供了先前定义的形式的模型。 输入图像由不同方向平面的密度梯度表示。 用于累加用于评估图像和模型之间的相似度的值的计数器平面的移位操作，以及将由模型指定的来自输入方向平面的值添加到计数器平面的添加操作，通过并行重复执行 处理以找到与表单的模型的总匹配。
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公开(公告)号：US4566124A
公开(公告)日：1986-01-21
申请号：US521956
申请日：1983-08-10
申请人： Kazuhiko Yamamoto , Taiichi Saito
发明人： Kazuhiko Yamamoto , Taiichi Saito
CPC分类号： G06K9/48 , G06K2209/01
摘要： A pattern reading system by line segment approximation comprising the steps of tracing the contour and simultaneously, seeking out as candidate extreme points the points at which the inner products of coordinate point vectors and directional vectors at coordinate points of the contour being traced are largest, and feeding out these candidate extreme points as real extreme points when the differences between the inner products of the direction vectors and the inner products of the candidate extreme points are greater than an allowance set in advance.
摘要翻译： 通过线段近似的图形读取系统，包括跟踪轮廓并同时寻找作为候选极限点的步骤，即坐标点向量的内积和正被跟踪轮廓的坐标点处的方向向量最大的点是最大的，以及 当方向向量的内积与候选极值点的内积之间的差异大于预先设定的容限时，将这些候选极值点作为真正极值点。
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公开(公告)号：US4288779A
公开(公告)日：1981-09-08
申请号：US54704
申请日：1979-07-05
申请人： Nobuyuki Otsu , Shunji Mori , Taiichi Saito
发明人： Nobuyuki Otsu , Shunji Mori , Taiichi Saito
CPC分类号： G06K9/80
摘要： A method for character reading requiring no character segmentation, which method effects required character recognition by the steps of subjecting a given string of character patterns to continuous scanning to produce either a local feature vector at each of the intersections of rows and columns of character patterns or a global feature vector for each of the columns formed in consequence of the scanning, linearly consolidating either or both of the feature vectors to obtain a lower dimensional vector in new feature axes and continuously matching the vectors with the standard ones set in advance.
摘要翻译： 一种不需要字符分割的字符读取方法，该方法通过以下步骤来影响所需的字符识别：将给定字符串的字符图案进行连续扫描，以在字符图案的行和列的每个交叉处产生局部特征向量，或 用于由扫描结果形成的每个列的全局特征向量，线性地合并特征向量中的一个或两者以获得新特征轴中的较低维度向量，并且将向量与预先设置的标准连续匹配。
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