Distance Transform based Text-line Extraction from Unconstrained Handwritten Document Images

2021 ◽  
pp. 115666
Author(s):  
Suman Kumar Bera ◽  
Soumyadeep Kundu ◽  
Neeraj Kumar ◽  
Ram Sarkar
Keyword(s):  
Distance Transform ◽  
Text Line ◽  
Document Images ◽  
Line Extraction ◽  
Handwritten Document ◽  
Text Line Extraction

Text-line extraction from handwritten document images using GAN

2020 ◽  
Vol 140 ◽  
pp. 112916 ◽  
Author(s):  
Soumyadeep Kundu ◽  
Sayantan Paul ◽  
Suman Kumar Bera ◽  
Ajith Abraham ◽  
Ram Sarkar
Keyword(s):  
Text Line ◽  
Document Images ◽  
Line Extraction ◽  
Handwritten Document ◽  
Text Line Extraction

Extraction of Text Lines from Handwritten Documents Using Piecewise Water Flow Technique

2014 ◽  
Vol 23 (3) ◽  
pp. 245-260 ◽  
Author(s):  
Ram Sarkar ◽  
Nibaran Das ◽  
Subhadip Basu ◽  
Mahantapas Kundu ◽  
Mita Nasipuri
Keyword(s):  
Water Flow ◽  
Line Segment ◽  
Document Image ◽  
Text Line ◽  
Test Results ◽  
Document Images ◽  
Handwritten Documents ◽  
Line Extraction ◽  
Handwritten Text ◽  
Text Line Extraction

AbstractA novel piecewise water flow technique for text line extraction from multi-skewed document images of handwritten text of different scripts is presented here. The basic water flow technique assumes that the hypothetical water flows from both left and right sides of the image frame. This flow of water fills up the gaps between consecutive objects (texts) but faces obstruction if any object lies in the path of the flow. All unwetted regions in the document image are then labeled distinctly to extract the text lines. However, the technique fails when two neighboring text lines touch each other, as water gets obstructed by the touching segment(s). To get rid of this difficulty, we have modified the basic water flow technique by iteratively applying the same over the vertically segmented document images. The main purpose of this vertical segmentation is to localize the text line segment(s) where two text lines get joined. These segments are then horizontally fragmented, and each fragment is placed suitably to the text line in which it actually belongs to. This way, the probable data loss during isolation of the touching text line segment is minimized. Both the techniques (current and basic ones) have been tested on three different databases, viz., CMATERdb 1.1.1, CMATERdb 1.1.2, and ICDAR2009 handwritten segmentation contest pages, respectively. The test results show that the present technique outperforms the basic one for all three databases.

Text line extraction for historical document images

2014 ◽  
Vol 35 ◽  
pp. 23-33 ◽  
Author(s):  
Raid Saabni ◽  
Abedelkadir Asi ◽  
Jihad El-Sana
Keyword(s):  
Text Line ◽  
Document Images ◽  
Historical Document ◽  
Line Extraction ◽  
Text Line Extraction

Text line extraction from handwritten document pages based on line contour estimation

2012 ◽  
Author(s):  
R. Sarkar ◽  
S. Halder ◽  
S. Malakar ◽  
N. Das ◽  
S. Basu ◽  
...  
Keyword(s):  
Text Line ◽  
Line Contour ◽  
Line Extraction ◽  
Contour Estimation ◽  
On Line ◽  
Handwritten Document ◽  
Text Line Extraction

Text line extraction in document images

2015 ◽  
Author(s):  
Liuan Wang ◽  
Wei Fan ◽  
Jun Sun ◽  
Satshi Naoi ◽  
Tanaka Hiroshi
Keyword(s):  
Text Line ◽  
Document Images ◽  
Line Extraction ◽  
Text Line Extraction
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