首页> 外国专利> Learning weights of fonts for typed samples in handwritten keyword spotting

Learning weights of fonts for typed samples in handwritten keyword spotting

机译:在手写关键字发现中学习输入样本的字体的权重

摘要

A wordspotting system and method are disclosed. The method includes receiving a keyword and, for each of a set of typographical fonts, synthesizing a word image based on the keyword. A keyword model is trained based on the synthesized word images and the respective weights for each of the set of typographical fonts. Using the trained keyword model, handwritten word images of a collection of handwritten word images which match the keyword are identified. The weights allow a large set of fonts to be considered, with the weights indicating the relative relevance of each font for modeling a set of handwritten word images.
机译:公开了一种词点缀系统和方法。该方法包括:接收关键字,并且对于一组印刷字体中的每一个,基于该关键字来合成单词图像。基于合成的词图像和每个印刷字体集的相应权重来训练关键字模型。使用训练的关键词模型,识别与关键词匹配的手写文字图像的集合中的手写文字图像。权重允许考虑大量字体,权重指示用于建模一组手写文字图像的每种字体的相对相关性。

著录项

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号