Voting Based Text Line Segmentation in Handwritten Document Images
2010 10th IEEE International Conference on Computer and Information Technology, 2010Text line segmentation is a critical task in unconstrained handwritten document recognition. In this paper, a novel text line segmentation based on 2D tensor voting is proposed. 2D tensor voting is originally used to remove outliers and extract perceptual structures such as curves, junctions and end points from a set of sparse data points.
Toan Nguyen Dinh +2 more
openaire +1 more source
Template Based Segmentation of Touching Components in Handwritten Text Lines
2011 International Conference on Document Analysis and Recognition, 2011In this paper, we present a template based approach to the segmentation of touching components in handwritten text lines. Local patches around touching components are identified and a dictionary is created consisting of template patches together with their correct segmentations. We use two shape context based methods to compute similarity between input
Le Kang, David S. Doermann
openaire +1 more source
An Adaptive Threshold Algorithm for Offline Uyghur Handwritten Text Line Segmentation
Wireless Networks, 2019This paper presents an effective text-line segmentation algorithm and evaluates its performance on Uyghur handwritten text document images. Projection based adaptive threshold selection mechanism is implemented to detect and segment the text lines with different valued thresholds.
Eliyas Suleyman +3 more
openaire +1 more source
Arabic Handwritten Text to Line Segmentation
2021 International Conference on Information Systems and Advanced Technologies (ICISAT), 2021Fariza Meziani +5 more
openaire +1 more source
A method for text-line segmentation for unconstrained Arabic and Persian handwritten text image
Proceedings of the 2014 IEEE 15th International Conference on Information Reuse and Integration (IEEE IRI 2014), 2014One of the challenging parts of freestyle handwritten text documents recognition area is text line segmentation problem. Curvilinear text lines and small gaps between neighboring text lines present a challenge to algorithms developed for machine printed or hand-printed documents. In this paper, we propose a novel approach based on painting algorithm by
openaire +1 more source
Segmentation of lines in handwritten texts based on fuzzy intervals
2013 First Iranian Conference on Pattern Recognition and Image Analysis (PRIA), 2013Segmentation of lines between handwritten texts as one step in detecting texts has slant. In this paper a new method based on fuzzy logic is proposed in order to approximate and connect inter textual lines. This proposed method has been tested on data banks in Persian and English languages.
openaire +1 more source
A generalized line segmentation method for multi-script handwritten text documents
Expert Systems With Applications, 2023Kaushik Roy +2 more
exaly
Text line segmentation from struck-out handwritten document images
Expert Systems With Applications, 2022Shivakumara Palaiahnakote +2 more
exaly
SeamFormer: High Precision Text Line Segmentation for Handwritten Documents
2023Niharika Vadlamudi +2 more
openaire +1 more source
An adaptive threshold algorithm for offline Uyghur handwritten text line segmentation
Wireless Networks, 2020Hamdulla Askar
exaly

