Results 221 to 230 of about 215,390 (253)

Text, photo, and line extraction in scanned documents

Journal of Electronic Imaging, 2012
We propose a page layout analysis algorithm to classify a scanned document into different regions such as text, photo, or strong lines. The proposed scheme consists of five modules. The first module performs several image preprocessing techniques such as image scaling, filtering, color space conversion, and gamma correction to enhance the scanned image
M. Sezer Erkilinc, Mustafa I. Jaber, Eli Saber, Peter Bauer, Dejan Depalov   +4 more
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Arabic hand-written text-line extraction

Proceedings of Sixth International Conference on Document Analysis and Recognition, 2002
This paper describes a text-line extraction based method. The typical segmentation for a printed binary document is based on the horizontal projection analysis and then the regrouping of the connected components. These techniques can't be used for handwritten unconstrained text because data frequently contain undulations and shifts in the baseline ...
Abderrazak Zahour, Bruno Taconet, P. Mercy, Said Ramdane   +3 more
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A Text Line Extraction Method for Archival Document Transcription

2020 17th International Multi-Conference on Systems, Signals & Devices (SSD), 2020
In order to reinforce the enrichment and exploitation of archival collections, a growing need for computer-aided tools able to assist researchers, historians and archivists in historical document image transcription has been recently highlighted. However, to ensure an efficient text transcription from archival handwritten and printed document images, a
Olfa Mechi, Maroua Mehri, Rolf Ingold, Najoua Essoukri Ben Amara   +3 more
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Fast text line extraction in document images

2012 19th IEEE International Conference on Image Processing, 2012
This paper proposes an algorithm for fast text line extraction in document image. Instead of binarization or multi-oriented Gaussian blurring of an image as in the conventional methods, we use integral image and design filters that are proper to detect text regions on the integral image.
Seong Jong Ha, Bora Jin, Nam Ik Cho
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Text line extraction in free style document

SPIE Proceedings, 2009
This paper addresses to text line extraction in free style document, such as business card, envelope, poster, etc. In free style document, global property such as character size, line direction can hardly be concluded, which reveals a grave limitation in traditional layout analysis.
Xiaolu Shen, Changsong Liu, Xiaoqing Ding, Yanming Zou   +3 more
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Ancient document analysis based on text line extraction

2008 19th International Conference on Pattern Recognition, 2008
In order to preserve our cultural heritage and for automated document processing libraries and national archives have started digitizing historical documents. In the case of degraded manuscripts (e.g. by mold, humidity, bad storage conditions) the text or parts of it can disappear.
Florian Kleber, Robert Sablatnig, Melanie Gau, Heinz Miklas   +3 more
openaire   +1 more source

Text Line Extraction in Handwritten Historical Documents

2017
We present a novel approach for the extraction of text lines in handwritten documents using a Convolutional Neural Network to label document image patches as text lines or separators. We first process the document to identify the most suitable patch size on the basis of an overall text line distance estimation.
Capobianco, Samuele, Marinai, Simone
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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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Extraction of text lines and text blocks on document images based on statistical modeling

International Journal of Imaging Systems and Technology, 1996
In this article, we developed a Bayesian model to characterize text line and text block structures on document images using the text word bounding boxes. We posed the extraction problem as finding the text lines and text blocks that maximize the Bayesian probability of the text lines and text blocks given the text word bounding boxes. In particular, we
Su S. Chen, Robert M. Haralick, Ihsin T. Phillips   +2 more
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Cooperative text and line-art extraction from a topographic map

Proceedings of the Fifth International Conference on Document Analysis and Recognition. ICDAR '99 (Cat. No.PR00318), 1999
The black layer is digitized from a USGS topographic map digitized at 1000 dpi. The connected components of this layer are analyzed and separated into line art, text, and icons in two passes. The paired street casings are converted to polylines by vectorization and associated with street labels from the character recognition phase.
Luyang Li, George Nagy, Ashok Samal, Sharad C. Seth, Yihong Xu   +4 more
openaire   +1 more source