公开(公告)号：US20150063700A1

公开(公告)日：2015-03-05

申请号：US14268904

申请日：2014-05-02

Applicant: QUALCOMM Incorporated

Inventor： Rajiv SOUNDARARAJAN ,  Kishor Kumar BARMAN ,  Pawan Kumar BAHETI

IPC: G06K9/18

CPC classification number: G06K9/18 ,  G06K9/344 ,  G06K9/6821 ,  G06K9/723 ,  G06K2209/01

Abstract: Embodiments disclosed pertain to Optical Character Recognition using Multiple Hypothesis Testing based techniques on images occurring in a variety of settings, including images captured by mobile stations. In some embodiments, a set of bifurcation points for a character cluster in an image may be determined. The character cluster may comprise non-uniformly spaced text or closely spaced text. A plurality of hypotheses may be determined for the character cluster, where each hypothesis is based on a subset of the bifurcation points and comprises a set of words generated from the character cluster. A plurality of scores corresponding to the plurality of hypotheses may be determined, where each score corresponds to a hypothesis, and a hypothesis may be selected from among the plurality of hypotheses based on a score associated with the selected hypothesis.

Abstract translation: 所公开的实施例涉及使用基于多种假设检验技术的光学字符识别，所述技术包括在各种设置中出现的图像，包括由移动台捕获的图像。 在一些实施例中，可以确定图像中的字符簇的一组分叉点。 字符簇可以包括非均匀间隔的文本或紧密间隔的文本。 可以针对字符簇确定多个假设，其中每个假设基于分支点的子集，并且包括从字符簇生成的一组单词。 可以确定与多个假设相对应的多个分数，其中每个分数对应于假设，并且可以基于与所选择的假设相关联的评分从多个假设中选择假设。