Results 221 to 230 of about 156,133 (264)

Document Image Retrieval in a Question Answering System for Document Images

2004
Question answering (QA) is the task of retrieving an answer in response to a question by analyzing documents. Although most of the efforts in developing QA systems are devoted to dealing with electronic text, we consider it is also necessary to develop systems for document images.
Koichi Kise, Shota Fukushima, Keinosuke Matsumoto   +2 more
openaire   +1 more source

Logo Retrieval in Document Images

2012 10th IAPR International Workshop on Document Analysis Systems, 2012
This paper presents a scalable algorithm for segmentation free logo retrieval in document images. The contributions include the use of the SURF feature for logo retrieval, a novel indexing algorithm for efficient retrieval and a method to filter results using the orientation of local features and geometric constraints.
Rajiv Jain, David S. Doermann
openaire   +1 more source

Degraded document image enhancement

SPIE Proceedings, 2007
Poor quality documents are obtained in various situations such as historical document collections, legal archives, security investigations, and documents found in clandestine locations. Such documents are often scanned for automated analysis, further processing, and archiving. Due to the nature of such documents, degraded document images are often hard
Gady Agam, G. Bal, Gideon Frieder, Ophir Frieder   +3 more
openaire   +1 more source

Networking digital document images

Proceedings of Sixth International Conference on Document Analysis and Recognition, 2001
Digital libraries create new services and open rare collections to a larger and wider audience. The development of online digital libraries in image mode is today limited by the narrow bandwidth of the network and the heavy storage requirements. Moreover, efficient networking of text content images requires specific compression schemes and particular ...
Frank Le Bourgeois, Hubert Emptoz, Eric Trinh, Jean Duong   +3 more
openaire   +1 more source

Multimodal Document Image Classification

2019 International Conference on Document Analysis and Recognition (ICDAR), 2019
State-of-the-art methods for document image classification rely on visual features extracted by deep convolutional neural networks (CNNs). These methods do not utilize rich semantic information present in the text of the document, which can be extracted using Optical Character Recognition (OCR).
Rajiv Jain, Curtis Wigington
openaire   +1 more source

A Document Image Retrieval System

Engineering Applications of Artificial Intelligence, 2010
In this paper, a system is presented that locates words in document image archives. This technique performs the word matching directly in the document images bypassing character recognition and using word images as queries. First, it makes use of document image processing techniques, in order to extract powerful features for the description of the word
Konstantinos Zagoris, Ergina Kavallieratou, Nikos Papamarkos   +2 more
openaire   +1 more source

Binarization of MultiSpectral Document Images

2015
This work is concerned with the binarization of document images caputured by MultiSpectral Imaging MSI systems. The documents imaged are historical manuscripts and MSI is used to gather more information compared to traditional RGB photographs or scans.
Fabian Hollaus, Markus Diem, Robert Sablatnig   +2 more
openaire   +1 more source

Image extraction in digital documents

Journal of Electronic Imaging, 2008
Images included in documents usually provide information that may not be readily expressible by words. For example, academic articles with similar pictures may be of interest for researchers. We deal with the problem of extracting images in digital document. Given a digital document, the optimal block size is first determined by finding the best fit of
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Curved document image rectification

2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2017
Digitization of documents has gained prominence in the recent past for data preserving. Paper documents can be converted to digital form by using various modes of acquisition techniques. In this paper processing of data captured using normal digital camera has been considered.
Dhanya M. Dhanalakshmy, Hema P. Menon
openaire   +1 more source

Edge noise in document images

Proceedings of The Third Workshop on Analytics for Noisy Unstructured Text Data, 2009
A degradation model that describes many image degradations produced by desktop scanning is used to study the edge noise that is present in bilevel document images. The standard deviation of the additive noise does not adequately describe the noise present after the image is converted to a bilevel image.
McGillivary, Craig, Hale, Chris, Barney Smith, Elisa H.   +2 more
openaire   +1 more source