Complementary combination of holistic and component analysis for recognition of low-resolution video character images

SeongHun Lee; JinHyung Kim

首页> 外文期刊>Pattern recognition letters >Complementary combination of holistic and component analysis for recognition of low-resolution video character images

【24h】

Complementary combination of holistic and component analysis for recognition of low-resolution video character images

机译：整体分析和成分分析的补充组合，用于识别低分辨率视频字符图像

获取原文

获取原文并翻译 | 示例

开具论文收录证明 >>

页面导航

摘要
著录项
引文网络
相似文献
相关主题

摘要

Video OCR aims at extracting text from video images in order to understand the context of the video. Video character images are usually given in low resolution with unique characteristics such as large stroke distortion, font variation, and variable size.

机译：视频OCR旨在从视频图像中提取文本，以了解视频的上下文。视频字符图像通常以低分辨率给出，具有独特的特征，例如较大的笔画失真，字体变化和可变大小。

著录项

来源
《Pattern recognition letters》 |2008年第4期|p.383-391|共9页
作者
SeongHun Lee; JinHyung Kim;
展开▼
作者单位

Department of Computer Science, KAIST, 373-1 Guseong-dong, Yuseong-gu, Daejeon, Republic of Korea;

展开▼
收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类自动化技术及设备;
关键词
video text recognition; korean character recognition; holistic approach; component approach; support vector machine; radical segmentation;

机译：视频文本识别;韩语字符识别;整体方法;分量方法;支持向量机;自由基分割;

相似文献

外文文献
中文文献
专利

1. Character extraction and recognition for low-resolution color images using dominant-color-based-line-segment method [J] . Masahiko Hamanaka 電子情報通信学会技術研究報告. パターン認識·メディア理解. Pattern Recognition and Media Understanding . 2001,第525期

机译：基于主色线段法的低分辨率彩色图像字符提取与识别
2. Character extraction and recognition for low-resolution color images using dominant-color-based-line-segment method [J] . Masahiko Hamanaka 電子情報通信学会技術研究報告. パターン認識·メディア理解. Pattern Recognition and Media Understanding . 2001,第525期

机译：基于主要颜色的线段方法的低分辨率彩色图像的字符提取与识别
3. Quantification and recognition of parkinsonian gait from monocular video imaging using kernel-based principal component analysis [J] . Shih-Wei Chen, Sheng-Huang Lin, Lun-De Liao, BioMedical Engineering OnLine . 2011,第1期

机译：基于核的主成分分析对单眼视频成像中帕金森步态的量化和识别
4. Natural Image Character Recognition Using One Class-Principal Component Analysis Classifier [C] . Fatima Zouaoui, Youcef Chibani International Conference on Pattern Analysis and Intelligent Systems . 2018

机译：使用一类主成分分析分类器的自然图像字符识别
5. Blind deconvolution and super-resolution of low-resolution images and videos. [D] . Faramarzi, Esmaeil. 2012

机译：低分辨率图像和视频的盲反卷积和超分辨率。
6. Quantification and recognition of parkinsonian gait from monocular video imaging using kernel-based principal component analysis [O] . Shih-Wei Chen, Sheng-Huang Lin, Lun-De Liao, 2011

机译：基于核的主成分分析从单眼视频成像中量化和识别帕金森步态
7. Robust Character Recognition in Low-Resolution Images and Videos [O] . Kopf Stephan, Haenselmann Thomas, Effelsberg Wolfgang 2005

机译：低分辨率图像和视频中的稳健字符识别
8. Bayesian Estimation of High-Resolution Imagery from Low-Resolution Video Sequences and Multisensor Data Sets. [R] . Schultz, R. R. 2002

机译：低分辨率视频序列和多传感器数据集的高分辨率图像的贝叶斯估计。

Complementary combination of holistic and component analysis for recognition of low-resolution video character images

摘要

著录项

引文网络

相似文献

相关主题

期刊订阅