公开(公告)号：US09305226B1

公开(公告)日：2016-04-05

申请号：US13893175

申请日：2013-05-13

Applicant: Amazon Technologies, Inc.

Inventor： Chang Yuan ,  Geoffrey Scott Heller ,  Louis LeRoi LeGrand, III ,  Daniel Bibireata ,  Neil Cooper ,  Laura Varnum Finney ,  Saurabh Verma

IPC: G06K9/18

CPC classification number: G06K9/726 ,  G06K9/723 ,  G06K2209/01

Abstract: 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.

Abstract translation: 文本识别过程的准确性可以使用一组语义增强规则来改进，如可以包含在序列或其他这样的布置中。 当从文本识别过程输出文本时，该文本可以为字符串的不同字符或部分提供替代和置信度值。 为了提高准确性，可以使用有组织的规则来处理该数据，只要满足该规则的任何前提条件就应用规则，并且每个规则都具有修改置信度值或修改一个或多个 备择方案。 当结果产生的最小置信水平或所有适用的规则已被应用时，结果可以作为识别过程的精细文本输出提供。