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Combining computed tomography features and histogram analysis facilitates differentiation between solitary pulmonary invasive mucinous and non-mucinous adenocarcinomas. [PDF]

Front Radiol
Yang D, Hu H, Li Z, Zhang S, Ai J, Zhang H.   +5 more
europepmc   +1 more source

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Script-Independent Text Line Segmentation in Freestyle Handwritten Documents

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008
Text line segmentation in freestyle handwritten documents remains an open document analysis 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 density estimation and a state-of-the-art
Yefeng Zheng, Stefan Jaeger
exaly   +3 more sources

Text Line Segmentation: A FCN Based Approach

2021
Text line segmentation is a prerequisite for most of the document processing systems. However, for handwritten/warped documents, it is not straightforward to segment the text lines. This work proposes a learning-based text line segmentation method from document images.
Annie Minj, Arpan Garai, Sekhar Mandal
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
openaire   +1 more source

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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Handwritten document image segmentation into text lines and words

Pattern Recognition, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Vassilis Papavassiliou, Themos Stafylakis, Vassilis Katsouros, George Carayannis   +3 more
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Skew Estimation and Segmentation of Text Line in Video Frames

2008 International Symposiums on Information Processing, 2008
A method is proposed to segment text from complex background for recognition task. First we estimate the skew of text line and rotate it to the horizontal one. Second, a sampling method based on color edge is proposed to get portion of the text pixels and non-text pixels.
Chengjun Zhu, Chao Li 0001, Lei Gao, Zhang Xiong 0001   +3 more
openaire   +1 more source