scholarly journals Scripts and Numerals Identification From Printed Multilingual Document Images

2011 ◽  
Author(s):  
Abirami S
Keyword(s):  
Document Images

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scholarly journals An enhanced binarization framework for degraded historical document images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.

A voting-based technique for word spotting in handwritten document images

2021 ◽  
Author(s):  
Shamik Majumder ◽  
Subhrangshu Ghosh ◽  
Samir Malakar ◽  
Ram Sarkar ◽  
Mita Nasipuri
Keyword(s):  
Document Images ◽  
Word Spotting ◽  
Handwritten Document
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