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A SELF-LEARNING SYSTEM AND METHODS FOR AUTOMATIC DOCUMENT RECOGNITION, AUTHENTICATION, AND INFORMATION EXTRACTION
A SELF-LEARNING SYSTEM AND METHODS FOR AUTOMATIC DOCUMENT RECOGNITION, AUTHENTICATION, AND INFORMATION EXTRACTION
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机译:自动识别,认证和信息提取的自学系统和方法
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摘要
A computerized system for classifying and authenticating documents is provided. The Classification process involves the creation of a Unique Pair Feature Vector which provides the best discrimination information for each pair of Document Classes at every node in a Pairwise Comparison Nodal Network. The Nodal Network has a plurality of nodes, each node corresponding to the best discrimination information between two potential document classes. By performing a pairwise comparison of the potential documents using this nodal network, the document is classified. After classification, the document can be authenticated for validity.
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