Improved document skew detection based on text line connected-component clustering

2002 ◽  
Author(s):  
N. Liolios ◽  
N. Fakotakis ◽  
G. Kokkinakis
Keyword(s):  
Text Line ◽  
Connected Component ◽  
Skew Detection

scholarly journals Unconstrained Handwritten Text Line Segmentation for Kannada Language

2019 ◽  
Vol 8 (12) ◽  
pp. 953-956
Keyword(s):  
Character Recognition ◽  
Recognition System ◽  
Text Line ◽  
Connected Component ◽  
Horizontal Projection ◽  
Text Documents ◽  
Handwritten Text ◽  
Kannada Language ◽  
System Separation ◽  
Line Segmentation

Segmentation is division of something into smaller parts and one of the Component of character recognition system. Separation of characters, words and lines are done in Segmentation from text documents. character recognition is a process which allows computers to recognize written or printed characters such as numbers or letters and to change them into a form that the computer can use. the accuracy of OCR system is done by taking the output of an OCR run for an image and comparing it to the original version of the same text. The main aim of this paper is to find out the various text line segmentations are Projection profiles, Weighted Bucket Method. Proposed method is horizontal projection profile and connected component method on Handwritten Kannada language. These methods are used for experimentation and finally comparing their accuracy and results.

Combined orientation and skew detection using geometric text-line modeling

2010 ◽  
Vol 13 (2) ◽  
pp. 79-92 ◽  
Author(s):  
Joost van Beusekom ◽  
Faisal Shafait ◽  
Thomas M. Breuel
Keyword(s):  
Text Line ◽  
Skew Detection

Skew detection and text line position determination in digitized documents

1997 ◽  
Vol 30 (9) ◽  
pp. 1505-1519 ◽  
Author(s):  
B. Gatos ◽  
N. Papamarkos ◽  
C. Chamzas
Keyword(s):  
Text Line ◽  
Line Position ◽  
Position Determination ◽  
Skew Detection ◽  
Digitized Documents

scholarly journals A Hybrid Approach for Skew Detection and Correction in the Multi-script Scanned Document

2019 ◽  
pp. 1-8
Author(s):  
M. Ramanan
Keyword(s):  
Hybrid Method ◽  
Hough Transform ◽  
Character Recognition ◽  
Optical Character Recognition ◽  
Hybrid Approach ◽  
Wiener Filter ◽  
Text Line ◽  
Skew Angle ◽  
Skew Detection ◽  
Optical Character

Skew detection and correction of a scanned document is a very important step in Optical Character Recognition because skew of scanned document is reducing the accuracy of text line approach for skew detection and correction to calculate the skew angle on multi-script scanned document using Radon transform, Hough transform, Harries corner, Wiener filter and smearing algorithm. In this paper, a proposed approach is compared existing skew detection and correction techniques for printed documents having different scripts: English, Tamil, Sinhala and mixed-script. A proposed hybrid method is tested on 160 documents. The overall testing results is 90.62% for skew detection and correction.

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