-
公开(公告)号：US5274744A
公开(公告)日：1993-12-28
申请号：US823241
申请日：1992-01-21
申请人： Shiaw-Shian Yu , Wen-Hsiang Tsai
发明人： Shiaw-Shian Yu , Wen-Hsiang Tsai
CPC分类号： G06N3/0445
摘要： In accordance with the present invention, a neural network comprising an array of neurons (i.e. processing nodes) interconnected by synapses (i.e. weighted transmission links) is utilized to carry out a probabilistic relaxation process. The inventive neural network is especially suited for carrying out a variety of image processing tasks such as thresholding.
摘要翻译： 根据本发明，利用包括通过突触（即加权传输链路）互连的神经元阵列（即处理节点）的神经网络来执行概率松弛过程。 本发明的神经网络特别适用于执行各种图像处理任务，例如阈值化。
-
公开(公告)号：US5909509A
公开(公告)日：1999-06-01
申请号：US643293
申请日：1996-05-08
申请人： Cheng-Chin Chiang , Shiaw-Shian Yu
发明人： Cheng-Chin Chiang , Shiaw-Shian Yu
CPC分类号： G06K9/6857
摘要： A character recognition device and system:(1) constructs a database comprising pairs of similar-looking characters;(2) selects critical features distinguishing these characters from each other; and(3) performs a recognition process based on the selected critical features.In the present invention, sample data is automatically analyzed to construct a feature reference database for a typical character recognition device. If two characters are confused for a threshold number of times, this pair is considered to be similar-looking or confusing. The reference data already accumulated is statistically analyzed for each similar-looking pair to determine the importance of certain features in distinguishing the two characters. These features are further statistically analyzed so that only the most dominant features will be looked at and the less dominant or similar-looking features will be ignored. A table is constructed containing a list of all similar-looking characters and the number of dominant, distinguishing features that are statistically likely to be present in order to select a top candidate character.
摘要翻译： 一种字符识别装置和系统：（1）构建包含相似字符对的数据库; （2）选择区分这些字符的关键特征; 和（3）基于所选择的关键特征进行识别处理。 在本发明中，自动分析样本数据，构成典型字符识别装置的特征参照数据库。 如果两个字符混淆了一个阈值次数，这对被认为是相似的或混乱的。 已经累积的参考数据对于每个相似的对进行统计分析，以确定某些特征在区分两个字符中的重要性。 这些特征进一步进行统计分析，以便仅查看最主要的特征，并且不太重要或相似的特征将被忽略。 构建了一个表，其中包含所有相似字符的列表以及统计上可能存在的主要，区别特征的数量，以便选择顶级候选字符。
-
公开(公告)号：US5410614A
公开(公告)日：1995-04-25
申请号：US141137
申请日：1993-10-22
申请人： Sheng-Li Chou , Shiaw-Shian Yu , Yuan-Cheng Lai
发明人： Sheng-Li Chou , Shiaw-Shian Yu , Yuan-Cheng Lai
CPC分类号： G06K9/44 , G06T5/20 , G06K2209/01
摘要： A preprocessing method for smoothing handwritten Chinese characters before subjecting the same to computerized character recognition and/or other applications. The method disclosed in the present invention is a run-based smoothing method which takes advantages of the unique characteristics of the building blocks of Chinese characters, which consist essentially of vertical, horizontal, and tilted strokes. Accordingly, the two-dimensional array of pixels representing a digitized character are first converted into a run information map which will be repeatedly scanned and subject to three main smoothing treatments: (1) empty run filling, (2) small triangular area filling, and (3) filled run deleting. A unique protocol is developed for effectuating each of the smoothing steps. After each treatment, the run information map is updated, and the treatment steps are repeated until no more empty run filling or filled run deleting can be found, or until a specified number of cycles are exceeded. Since an entire run is used during the filling and deleting steps, the method disclosed in the present invention has the advantage that a strong smoothing effect can be achieved. Furthermore, since a run rather than a pixel is used as the checking unit, the processing speed is fast and efficient.
摘要翻译： 一种用于在将手写汉字进行计算机化字符识别和/或其他应用之前平滑手写汉字的预处理方法。 本发明公开的方法是一种基于跑步的平滑方法，其优点在于基本上由垂直，水平和倾斜的笔画组成的汉字构造块的独特特征。 因此，表示数字化字符的二维像素阵列首先被转换成将被重复扫描的运行信息图，并进行三次主要平滑处理：（1）空运行填充，（2）小三角形区域填充和 （3）填充删除。 开发了独特的协议来实现每个平滑步骤。 在每次处理之后，更新运行信息图，并且重复处理步骤，直到不能再找到空运行填充或填充运行删除，或直到超过指定数量的循环。 由于在填充和删除步骤期间使用整个运行，所以本发明所公开的方法具有能够实现强平滑效果的优点。 此外，由于使用运行而不是像素作为检查单元，所以处理速度是快速和有效的。
-
-
搜索结果
3 条记录 (耗时 0.014 秒)
