发明授权
- 专利标题: Semantic boosting rules for improving text recognition
- 专利标题(中): 提高文本识别的语义提升规则
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申请号: US13893175申请日: 2013-05-13
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公开(公告)号: US09305226B1公开(公告)日: 2016-04-05
- 发明人: Chang Yuan , Geoffrey Scott Heller , Louis LeRoi LeGrand, III , Daniel Bibireata , Neil Cooper , Laura Varnum Finney , Saurabh Verma
- 申请人: Amazon Technologies, Inc.
- 申请人地址: US NV Reno
- 专利权人: Amazon Technologies, Inc.
- 当前专利权人: Amazon Technologies, Inc.
- 当前专利权人地址: US NV Reno
- 代理机构: Novak Druce Connolly Bove + Quigg LLP
- 主分类号: G06K9/18
- IPC分类号: G06K9/18
摘要:
The accuracy of a text recognition process can be improved using a set of semantic boosting rules, as may be contained in a sequence or other such arrangement. When text is output from a text recognition process, that text can have alternatives and confidence values for different characters or portions of the string. In order to improve the accuracy, this data can be processed using the organized rules, where rules are applied as long as any preconditions for that rule are satisfied, and each rule has the ability to modify the confidence values or modify one or more of the alternatives. When a result it produced with a minimum confidence level, or all applicable rules have been applied, the result can be provided as a refined text output of the recognition process.
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