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Text Line Segmentation in Handwritten Documents with Generative Adversarial Networks

2021 International Conference on INnovations in Intelligent SysTems and Applications (INISTA), 2021
In document analysis and recognition applications, segmenting the text lines accurately is a crucial step. Text line segmentation in handwritten documents is still a challenging task because of numerous factors that can decrease the segmentation accuracy.
Ali Alper Demir   +2 more
openaire   +2 more sources

An Improved Handwritten Text Line Segmentation Technique

2011
Document image segmentation to textlines is a decisive stage towards unconstrained handwritten document recognition. In this paper, an improvised scheme for handwritten text line segmentation is proposed. The proposed method is an improvised method to Alaei et al., 2010 [1] by applying block separation and edge detection process.
M. Mohammadi   +3 more
openaire   +1 more source

Text Line Segmentation Based on Morphology and Histogram Projection

2009 10th International Conference on Document Analysis and Recognition, 2009
Text extraction is an important phase in document recognition systems. In order to segment text from a page document it is necessary to detect all the possible manuscript text regions. In this article we propose an efficient algorithm to segment handwritten text lines.
Rodolfo P. dos Santos   +3 more
openaire   +1 more source

A Variational Bayes Method for Handwritten Text Line Segmentation

2009 10th International Conference on Document Analysis and Recognition, 2009
Text line segmentation in unconstrained handwritten documents remains a challenge because handwritten text lines are multi-skewed and not obviously separated. This paper presents a new approach based on the variational Bayes (VB) framework for text line segmentation.
Fei Yin, Cheng-Lin Liu 0001
openaire   +1 more source

A Morphological Approach for Text-Line Segmentation in Handwritten Documents

2010 12th International Conference on Frontiers in Handwriting Recognition, 2010
Document image segmentation to text lines is a critical stage towards unconstrained handwritten document recognition. Although morphological operations proved to be effective in processing machine-printed documents for several issues, similar methods for unconstraint-handwritten documents lack accuracy.
Vassilis Papavassiliou   +2 more
openaire   +1 more source

A Morphological Approach to Persian Handwritten Text Line Segmentation

2014 UKSim-AMSS 16th International Conference on Computer Modelling and Simulation, 2014
This paper deals with extracting lines in handwritten Persian texts. In the presented method, at first, oblique lines and dots pertaining to words that are the main causes of two lines sticking to each other are eliminated. Then, using morphological operations, the remaining components of lines stick to one another.
Abdollah Amirkhani Shahraki   +2 more
openaire   +1 more source

Text line segmentation of unconstrained handwritten Kannada script

Proceedings of the 2011 International Conference on Communication, Computing & Security, 2011
Separating text lines in handwritten documents remains a challenge because the text lines are often varying skewed and curved. In this paper, we propose a novel method for text line segmentation of unconstrained handwritten Kannada script. The proposed method consists of two phases.
V. N. Manjunath Aradhya, C. Naveena
openaire   +1 more source

Influence of text line segmentation in Handwritten Text Recognition

2015 13th International Conference on Document Analysis and Recognition (ICDAR), 2015
Text line segmentation is the process by which text lines in a document image are localized and extracted. It is an important step in off-line Handwritten Text Recognition (HTR) given that the input of these systems is the line image of the text to be transcribed.
Verónica Romero 0001   +4 more
openaire   +1 more source

Text Line Segmentation in Handwritten Document Using a Production System

Ninth International Workshop on Frontiers in Handwriting Recognition, 2004
We present in this paper a digitization project of cultural heritage manuscripts and we discuss the underlying problems, particularly those relative to document analysis. Considering the drawbacks of traditionnal methods for text line extraction in handwritten documents, we propose to adopt a new approach for handwritten page segmentation, based on ...
Nicolas, Stéphane   +2 more
openaire   +2 more sources

Language Adaptive Methodology for Handwritten Text Line Segmentation

2013
Text line segmentation in handwritten documents is a very challenging task because in handwritten documents curved text lines appear frequently. In this paper, we have implemented a general line segmentation approach for handwritten documents with various languages.
Subhash Panwar   +3 more
openaire   +1 more source

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