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    • 2. 发明申请
    • METHOD AND SYSTEM FOR TRAINING CLASSIFICATION AND EXTRACTION ENGINE IN AN IMAGING SOLUTION
    • 用于在成像解决方案中训练分类和提取发动机的方法和系统
    • US20100329545A1
    • 2010-12-30
    • US12495069
    • 2009-06-30
    • John A. MooreMatthew Coene
    • John A. MooreMatthew Coene
    • G06K9/62G06F17/30G06F15/18
    • G06K9/033G06F17/30256G06K9/6253
    • A method and system for automatically training a document imaging classification and extraction system that switches between a manual mode and an automatic mode based on constant monitoring. A specialized sub-system monitors and records a user interaction with the classification system during the initial manual mode and, in parallel, develops and tests a user configuration with respect to an automated processing engine. The system is capable of being shifted to the automatic mode if a desired acceptability threshold is attained and the document can then be processed automatically. Furthermore, a user can interact with the classification system if the automatic mode fails. Information concerning exception handling can be entered into a training database for continual refinement of the classification and extraction system.
    • 一种用于自动训练基于恒定监视在手动模式和自动模式之间切换的文档成像分类和提取系统的方法和系统。 专门的子系统在初始手动模式期间监视和记录用户与分类系统的交互,并且并行地开发和测试关于自动处理引擎的用户配置。 如果达到所需的可接受性阈值,则系统能够转移到自动模式,然后可以自动处理文档。 此外,如果自动模式失败,用户可以与分类系统交互。 关于异常处理的信息可以输入到培训数据库中,以不断改进分类和提取系统。
    • 3. 发明授权
    • Method and system for training classification and extraction engine in an imaging solution
    • 在成像解决方案中训练分类和提取引擎的方法和系统
    • US08175377B2
    • 2012-05-08
    • US12495069
    • 2009-06-30
    • John A. MooreMatthew Coene
    • John A. MooreMatthew Coene
    • G06K9/62
    • G06K9/033G06F17/30256G06K9/6253
    • A method and system for automatically training a document imaging classification and extraction system that switches between a manual mode and an automatic mode based on constant monitoring. A specialized sub-system monitors and records a user interaction with the classification system during the initial manual mode and, in parallel, develops and tests a user configuration with respect to an automated processing engine. The system is capable of being shifted to the automatic mode if a desired acceptability threshold is attained and the document can then be processed automatically. Furthermore, a user can interact with the classification system if the automatic mode fails. Information concerning exception handling can be entered into a training database for continual refinement of the classification and extraction system.
    • 一种用于自动训练基于恒定监视在手动模式和自动模式之间切换的文档成像分类和提取系统的方法和系统。 专门的子系统在初始手动模式期间监视和记录用户与分类系统的交互,并且并行地开发和测试关于自动处理引擎的用户配置。 如果达到所需的可接受性阈值,则系统能够转移到自动模式,然后可以自动处理文档。 此外,如果自动模式失败,用户可以与分类系统交互。 关于异常处理的信息可以输入到培训数据库中,以不断改进分类和提取系统。