CASIA OpenIR
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DetectGAN: GAN-based text detector for camera-captured document images 期刊论文
INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION, 2020, 卷号: 23, 期号: 4, 页码: 267-277
Authors:  Zhao, Jinyuan;  Wang, Yanna;  Xiao, Baihua;  Shi, Cunzhao;  Jia, Fuxi;  Wang, Chunheng
Adobe PDF(3817Kb)  |  Favorite  |  View/Download:27/0  |  Submit date:2020/09/21
Text detection  Camera-captured document images  Multi-scale context features  Generative adversarial networks  
Document image binarization with cascaded generators of conditional generative adversarial networks 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 96, 期号: 1, 页码: 12
Authors:  Zhao, Jinyuan;  Shi, Cunzhao;  Jia, Fuxi;  Wang, Yanna;  Xiao, Baihua
Adobe PDF(3892Kb)  |  Favorite  |  View/Download:98/1  |  Submit date:2019/12/16
Cascaded generator  Conditional generative adversarial networks  Document image binarization  Image generation  Historical document analysis  
An effective binarization method for disturbed camera-captured document images 会议论文
, Niagara Falls,USA, 2018/08/05
Authors:  Zhao JY(赵晋媛);  Shi CZ(史存召);  Jia FX(贾馥溪);  Wang YN(王燕娜);  Xiao BH(肖柏华)
Adobe PDF(579Kb)  |  Favorite  |  View/Download:11/2  |  Submit date:2021/05/26
Degraded document image binarization using structural symmetry of strokes 期刊论文
PATTERN RECOGNITION, 2018, 卷号: 74, 期号: 2018, 页码: 225-240
Authors:  Jia, Fuxi;  Shi, Cunzhao;  He, Kun;  Wang, Chunheng;  Xiao, Baihua
View  |  Adobe PDF(4351Kb)  |  Favorite  |  View/Download:399/187  |  Submit date:2018/01/03
Document Image Binarization  Structural Symmetry Of Strokes  Local Threshold  Stroke Width Estimation  
Fisher vector for scene character recognition: A comprehensive evaluation 期刊论文
PATTERN RECOGNITION, 2017, 卷号: 72, 期号: 2017, 页码: 1-14
Authors:  Shi, Cunzhao;  Wang, Yanna;  Jia, Fuxi;  He, Kun;  Wang, Chunheng;  Xiao, Baihua
View  |  Adobe PDF(2285Kb)  |  Favorite  |  View/Download:198/61  |  Submit date:2018/01/02
Character Representation  Character Recognition  Fisher Vector (Fv)  Gaussian Mixture Models (Gmm)  Bag Of Visual Words (Bow)