公开(公告)号：US20140270528A1

公开(公告)日：2014-09-18

申请号：US13800951

申请日：2013-03-13

Applicant: Amazon Technologies, Inc.

Inventor： DAVID PAUL RAMOS ,  Chang Yuan ,  Keith Harrison Goodman ,  Avnish Sikka

IPC: G06T5/00

CPC classification number: G06T5/001 ,  G06K9/00228 ,  G06K9/03 ,  G06K9/3258 ,  G06K9/34 ,  G06K9/40 ,  G06K9/44 ,  G06K2209/01 ,  G06T7/73 ,  G06T2207/10004 ,  G06T2207/30168 ,  G06T2207/30201

Abstract: Various embodiments enable regions of text to be identified in an image captured by a camera of a computing device for preprocessing before being analyzed by a visual recognition engine. For example, each of the identified regions can be analyzed or tested to determine whether a respective region contains a quality associated with poor text recognition results, such as poor contrast, blur, noise, and the like, which can be measured by one or more algorithms. Upon identifying a region with such a quality, an image quality enhancement can be automatically applied to the respective region without user instruction or intervention. Accordingly, once each region has been cleared of the quality associated with poor recognition, the regions of text can be processed with a visual recognition algorithm or engine.

Abstract translation: 各种实施例使得在由视觉识别引擎分析之前，在由计算设备的照相机拍摄的图像中识别文本区域以进行预处理。 例如，可以分析或测试每个所识别的区域以确定相应区域是否包含与差的文本识别结果相关联的质量，例如差的对比度，模糊，噪声等，其可以由一个或多个 算法。 在识别具有这种质量的区域时，可以在没有用户指导或干预的情况下自动地将图像质量增强应用于相应区域。 因此，一旦每个区域已被清除与识别不良相关的质量，文本区域可以用视觉识别算法或引擎进行处理。