Document images forgery localization using a two‐stream network

2021 ◽  
Author(s):  
Wenbo Xu ◽  
Junwei Luo ◽  
Chuntao Zhu ◽  
Wei Lu ◽  
Jinhua Zeng ◽  
...  
Keyword(s):  
Document Images ◽  
Stream Network

Pre-Processing of Document Images Obtained with a Smartphone

2016 ◽  
Vol 11 (12) ◽  
pp. 1187 ◽  
Author(s):  
Hassan El Bahi ◽  
Abdelkarim Zatni
Keyword(s):  
Document Images

Symbolic Compression and Processing of Document Images

1997 ◽  
Author(s):  
Omid Kia ◽  
David Doermann ◽  
Azriel Rosenfled ◽  
Rama Chellappa
Keyword(s):  
Document Images

scholarly journals Geomorphology and Landslide-Prone Area in Cisolok District, Sukabumi Regency

2019 ◽  
Vol 125 ◽  
pp. 01005 ◽  
Author(s):  
Mochamad Seandy Alfarabi ◽  
Supriatna ◽  
Masita Dwi Mandini Manessa ◽  
Andry Rustanto ◽  
Yoanna Ristya
Keyword(s):  
Land Use ◽  
Road Network ◽  
Geological Structure ◽  
Overlay Analysis ◽  
Stream Network ◽  
Prone Area ◽  
Steep Topography ◽  
Physical Variables ◽  
Natural Characteristics ◽  
Very High

Sukabumi District located in Southern West Java known as a region that has diverse natural characteristics, however, it is vulnerable to disasters, especially landslides. Moreover, this study focuses on Cisolok District because this region always occurred landslides every year due to topography aspect. The aim of this study is to analyze the influence of geomorphology to landslide-prone area in Cisolok District to reduce landslides. This study used overlay analysis for geomorphology mapping, while the Frequency Ratio (FR) method used for landslide-prone area mapping. Several physical variables used in this study such as slope, elevation, lithology, geological structure, road network, stream network, land use, soil type, rainfall, and landslide location. The result shows that the study areas have diverse geomorphology units dominated by volcanic slope with steep topography. While landslide-prone area consist of four classes : namely 17,03% low, 62,05% medium, 14,4% high, and 6,51% very high. Variety of landslide vulnerability in study area influenced by terrain form, land genesis, and geomorphic process.

scholarly journals An enhanced binarization framework for degraded historical document images

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Wei Xiong ◽  
Lei Zhou ◽  
Ling Yue ◽  
Lirong Li ◽  
Song Wang
Keyword(s):  
Document Image ◽  
Morphological Operations ◽  
Document Images ◽  
Minimum Entropy ◽  
Stroke Width ◽  
Background Estimation ◽  
Structuring Element ◽  
Document Image Binarization ◽  
Benchmark Datasets ◽  
Stroke Width Transform

AbstractBinarization plays an important role in document analysis and recognition (DAR) systems. In this paper, we present our winning algorithm in ICFHR 2018 competition on handwritten document image binarization (H-DIBCO 2018), which is based on background estimation and energy minimization. First, we adopt mathematical morphological operations to estimate and compensate the document background. It uses a disk-shaped structuring element, whose radius is computed by the minimum entropy-based stroke width transform (SWT). Second, we perform Laplacian energy-based segmentation on the compensated document images. Finally, we implement post-processing to preserve text stroke connectivity and eliminate isolated noise. Experimental results indicate that the proposed method outperforms other state-of-the-art techniques on several public available benchmark datasets.

Sign in / Sign up

Export Citation Format

Share Document