公开(公告)号：US20140355835A1

公开(公告)日：2014-12-04

申请号：US13903218

申请日：2013-05-28

Applicant: Xerox Corporation

Inventor： Jose Antonio Rodriguez-Serrano ,  Florent C. Perronnin

IPC: G06K9/72

CPC classification number: G06K9/72 ,  G06K9/00872 ,  G06K9/3258 ,  G06K9/6232 ,  G06K2209/15

Abstract: A system and method for computing confidence in an output of a text recognition system includes performing character recognition on an input text image with a text recognition system to generate a candidate string of characters. A first representation is generated, based on the candidate string of characters, and a second representation is generated based on the input text image. A confidence in the candidate string of characters is computed based on a computed similarity between the first and second representations in a common embedding space.

Abstract translation: 用于计算文本识别系统的输出的置信度的系统和方法包括使用文本识别系统对输入文本图像执行字符识别以生成候选字符串。 基于候选字符串生成第一表示，并且基于输入的文本图像生成第二表示。 基于在公共嵌入空间中计算出的第一和第二表示之间的相似度来计算候选字符串的置信度。

公开(公告)号：US20140270350A1

公开(公告)日：2014-09-18

申请号：US13803334

申请日：2013-03-14

Applicant: XEROX CORPORATION

Inventor： Jose Antonio Rodriguez-Serrano ,  Diane Larlus-Larrondo

IPC: G06T7/00 ,  G06K9/62

CPC classification number: G06K9/6217 ,  G06K9/3233 ,  G06K9/325 ,  G06K9/6267 ,  G06K2209/15

Abstract: A computer implemented method for localization of an object, such as a license plate, in an input image includes generating a task-dependent representation of the input image based on relevance scores for the object to be localized. The relevance scores are output by a classifier for a plurality of locations in the input image, such as patches. The classifier is trained on patches extracted from training images and their respective relevance labels. One or more similar images are identified from a set of images, based on a comparison of the task-dependent representation of the input image and task-dependent representations of images in the set of images. A location of the object in the input image is identified based on object location annotations for the similar images.

Abstract translation: 用于在输入图像中定位对象（例如牌照）的计算机实现的方法包括基于要被本地化的对象的相关性得分来生成输入图像的任务相关表示。 相关性分数由输入图像中的多个位置的分类器输出，例如补片。 对分类器进行训练，从训练图像提取的补丁及其各自的相关标签。 基于输入图像的任务相关表示和图像集合中的图像的任务相关表示的比较，从一组图像中识别一个或多个相似图像。 基于相似图像的对象位置注释来识别输入图像中对象的位置。