Optical pattern recognition using detector and locator neural networks
    1.
    发明授权
    Optical pattern recognition using detector and locator neural networks 失效
    使用检测器和定位器神经网络的光学模式识别

    公开(公告)号:US5239593A

    公开(公告)日:1993-08-24

    申请号:US680231

    申请日:1991-04-03

    IPC分类号: G06K9/32 G06K9/34

    摘要: A system for performing optical pattern recognition includes a first detector neural network for detecting the presence of a particular optical pattern in an input image and a second locator neural network for locating and/or removing the particular optical pattern from the input image. The detector network and the locator network both comprise nodes which can take on the -1, +1, or undefined states. The nodes are arranged in layers and each node in a layer has a location corresponding to a pixel in the input image. A particular application of this neural network is in finding the amount field on a check and removing the line which borders the amount field.

    摘要翻译: 用于执行光学图案识别的系统包括用于检测输入图像中特定光学图案的存在的第一检测器神经网络和用于从输入图像定位和/或去除特定光学图案的第二定位器神经网络。 检测器网络和定位器网络都包括可以采取-1,+1或未定义状态的节点。 节点被布置成层,层中的每个节点具有对应于输入图像中的像素的位置。 这个神经网络的一个特定应用是找到一个支票上的金额字段,并移除与金额区域相邻的线。

    Neural network model in pattern recognition using probabilistic
contextual information
    2.
    发明授权
    Neural network model in pattern recognition using probabilistic contextual information 失效
    使用概率语境信息的模式识别中的神经网络模型

    公开(公告)号:US4876731A

    公开(公告)日:1989-10-24

    申请号:US158215

    申请日:1988-02-19

    IPC分类号: G06K9/72 G06N3/04

    CPC分类号: G06K9/726 G06N3/0427

    摘要: A pattern recognition system for recognizing an unknown pattern comprised of symbols which are part of a pattern system which is devoid of inherent context such as numbers. Artificial contextual information based on other than symbol features and the pattern system and in the form of probability weighted expected interpretations are stored and used in the processing phase of recognition. In the system disclosed, the system comprises a neural network whose forward and feedback paths are controlled by the output cells of the network based, in part, on the contextual information.

    摘要翻译: 用于识别由作为不具有固有上下文(如数字)的图案系统的一部分的符号组成的未知图案的模式识别系统。 基于符号特征和模式系统以及概率加权预期解释形式的人工上下文信息被存储并用于识别的处理阶段。 在所公开的系统中,系统包括神经网络,其神经网络的前向和反馈路径部分地基于上下文信息由网络的输出单元控制。

    Structured document processing with lexical classes as context
    3.
    发明授权
    Structured document processing with lexical classes as context 失效
    具有词汇类的结构化文档处理作为上下文

    公开(公告)号:US5642435A

    公开(公告)日:1997-06-24

    申请号:US378151

    申请日:1995-01-25

    申请人: Keith Loris

    发明人: Keith Loris

    IPC分类号: G06K9/20 G06K9/72 G06K9/62

    摘要: Patterns of intelligence detected in a digital image representation are correlated with pattern classes according to a predetermined set of rules for improved pattern identification. Identified patterns are subsequently mapped to classes for continued use of classification.

    摘要翻译: 根据用于改进的图案识别的预定规则集合,在数字图像表示中检测到的智能模式与模式类别相关联。 识别的模式随后映射到类以继续使用分类。