Results 251 to 260 of about 43,701,639 (283)

Handwritten Document Offline Text Line Segmentation

Digital Image Computing: Techniques and Applications (DICTA'05), 2005
In this paper, a method of text segmentation into lines of text known as cut text minimization (CTM) is described. Results applying the CTM method to the NIST data base examples of fifty two word handwritten paragraphs of the American Constitutions are given. The method uses a modified projection method to obtain starting points.
C. Weliwitage, A. L. Harvey, Andrew B. Jennings   +2 more
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Text Line Segmentation of Historical Arabic Documents

Ninth International Conference on Document Analysis and Recognition (ICDAR 2007), 2007
This paper presents a text line segmentation method for printed or handwritten historical Arabic documents. Documents are first classified into 2 classes using a K-means scheme. These classes correspond to document complexity (easy or not easy to segment).
Abderrazak Zahour, Laurence Likforman-Sulem, Wafa Boussellaa, Bruno Taconet   +3 more
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Segmentation of Historical Handwritten Documents into Text Zones and Text Lines

2014 14th International Conference on Frontiers in Handwriting Recognition, 2014
In order to achieve accurate text recognition performance for historical handwritten document images, robust and efficient page segmentation is necessary. In this paper, we propose a text zone detection followed by a text line segmentation method suitable for historical handwritten documents.
Basilis Gatos, Georgios Louloudis, Nikolaos Stamatopoulos   +2 more
openaire   +1 more source

External word segmentation of off-line handwritten text lines

Pattern Recognition, 1994
Abstract Techniques are described to separate a line of unconstrained (written in a natural manner) handwritten text into words. When the writing style is unconstrained, recognition of individual components may be unreliable so they must be grouped together into word hypotheses, before recognition algorithms (which may require dictionaries) can be ...
Giovanni Seni, Edward Cohen
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Text line segmentation in Chinese handwritten text images

2011 17th Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV), 2011
In this paper, text line segmentation based on 2-D Tensor Voting is proposed, 2-D tensor voting is used to remove outliers and located center points of connected components. The saliency values and direction of normal vectors are represented information of tensors for segmentation. The text images obtained from HIT-MW dataset.
null Chengdong Zhang, null GueeSang Lee
openaire   +1 more source

A Model for Text Line Segmentation and Classification in Printed Documents

2021 13th International Conference on Machine Learning and Computing, 2021
In this paper, we propose a new model for text line segmentation and classification, which consists of convolutional and two-layer bi-directional long short-term memory (BiLSTM) networks. Trained on the synthetic text dataset, it performs excellently when predicting the real data.
Xin Wang, Jun Guo
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Segmentation of text lines into words for Gujarati handwritten text

2010 International Conference on Signal and Image Processing, 2010
A presentation on attempt to extract words from handwritten text lines in Gujarati script is hereby submitted. The very cursive nature of most Indian scripts makes the word extraction process a very critical one for Optical Character Recognition (OCR) activity.
Chhaya Patel, Apurva Desai
openaire   +1 more source

Lines segmentation and word extraction of Arabic handwritten text

Proceedings of the 3rd International Conference on Smart City Applications, 2018
Words are often a succession of sub-words (characters, connected components) separated by spaces, in Arabic handwritten its spaces are divided into two types: the first type represents the spaces that separate two connected components of the same word (within-word).
Asmae Lamsaf, Mounir Ait Kerroum, Siham Boulaknadel, Youssef Fakhri   +3 more
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A New Method for Line Segmentation of Handwritten Hindi Text

2010 Seventh International Conference on Information Technology: New Generations, 2010
In this paper, we have discussed the new method for Line Segmentation of Handwritten Hindi text. The method is based on header line detection, base line detection and contour following technique. No preprocessing like skew correction, thinning or noise removal has been done on the data. The purpose of this paper is three fold.
Naresh Kumar Garg, Lakhwinder Kaur, Manish Kumar Jindal   +2 more
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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   +2 more sources