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METHODS AND APPARATUS FOR CAPTURING, PROCESSING, TRAINING, AND DETECTING PATTERNS USING PATTERN RECOGNITION CLASSIFIERS

机译:使用模式识别分类器捕获,处理,训练和检测模式的方法和装置

摘要

A system, methods, and apparatus for generating pattern recognition classifiers are disclosed. An example method includes identifying graphical objects within an image of a card object, for each identified graphical object: i) creating a bounding region encompassing the graphical object such that a border of the bounding region is located at a predetermined distance from segments of the graphical object, ii) determining pixels within the bounding region that correspond to the graphical object, iii) determining an origin of the graphical object based on an origin rule, iv) determining a text coordinate relative to the origin for each determined pixel, and v) determining a statistical probability that features arc present within the graphical object, each of the features including at least one pixel having text coordinates and for each graphical object type, combining the statistical probabilities for each of the features of the identified graphical objects into a classifier data structure.
机译:公开了一种用于生成模式识别分类器的系统,方法和装置。一种示例方法包括针对每个识别出的图形对象识别卡对象的图像内的图形对象:i)创建包围该图形对象的边界区域,使得该边界区域的边界位于距该图形的各段预定距离处。 ii)确定边界区域内与图形对象相对应的像素,iii)根据原点规则确定图形对象的原点,iv)为每个确定的像素确定相对于原点的文本坐标,并且v)确定在图形对象中存在特征的统计概率,对于每个图形对象类型,每个特征包括至少一个具有文本坐标的像素,并将所标识的图形对象的每个特征的统计概率组合到分类器数据中结构体。

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