Conferences related to Document Image Analysis

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2023 Annual International Conference of the IEEE Engineering in Medicine & Biology Conference (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted full papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions,will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.


2020 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

  • 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premier annual computer vision event comprising the main conference and severalco-located workshops and short courses. With its high quality and low cost, it provides anexceptional value for students, academics and industry researchers.

  • 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

  • 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conferenceand 27co-located workshops and short courses. With its high quality and low cost, it provides anexceptional value for students,academics and industry.

  • 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry.

  • 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    computer, vision, pattern, cvpr, machine, learning

  • 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. Main conference plus 50 workshop only attendees and approximately 50 exhibitors and volunteers.

  • 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry.

  • 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Topics of interest include all aspects of computer vision and pattern recognition including motion and tracking,stereo, object recognition, object detection, color detection plus many more

  • 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Sensors Early and Biologically-Biologically-inspired Vision, Color and Texture, Segmentation and Grouping, Computational Photography and Video

  • 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Concerned with all aspects of computer vision and pattern recognition. Issues of interest include pattern, analysis, image, and video libraries, vision and graphics, motion analysis and physics-based vision.

  • 2009 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Concerned with all aspects of computer vision and pattern recognition. Issues of interest include pattern, analysis, image, and video libraries, vision and graphics,motion analysis and physics-based vision.

  • 2008 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2007 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2006 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2005 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)


2020 IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

The ICASSP meeting is the world's largest and most comprehensive technical conference focused on signal processing and its applications. The conference will feature world-class speakers, tutorials, exhibits, and over 50 lecture and poster sessions.


IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium

All fields of satellite, airborne and ground remote sensing.


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Periodicals related to Document Image Analysis

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Aerospace and Electronic Systems Magazine, IEEE

The IEEE Aerospace and Electronic Systems Magazine publishes articles concerned with the various aspects of systems for space, air, ocean, or ground environments.


Biomedical Engineering, IEEE Reviews in

The IEEE Reviews in Biomedical Engineering will review the state-of-the-art and trends in the emerging field of biomedical engineering. This includes scholarly works, ranging from historic and modern development in biomedical engineering to the life sciences and medicine enabled by technologies covered by the various IEEE societies.


Computer

Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.


Computer Graphics and Applications, IEEE

IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics. From specific algorithms to full system implementations, CG&A offers a strong combination of peer-reviewed feature articles and refereed departments, including news and product announcements. Special Applications sidebars relate research stories to commercial development. Cover stories focus on creative applications of the technology by an artist or ...


Display Technology, Journal of

This publication covers the theory, design, fabrication, manufacturing and application of information displays and aspects of display technology that emphasize the progress in device engineering, device design, materials, electronics, physics and reliabilityaspects of displays and the application of displays.


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Most published Xplore authors for Document Image Analysis

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Xplore Articles related to Document Image Analysis

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The ISL document image analysis toolbox

Proceedings Workshop on Document Image Analysis (DIA'97), 1997

This paper describes the Document Image Understanding Toolbox currently under development at the University of Washington's Intelligent Systems Laboratory. The Toolbox provides a common data structure and a variety of document image analysis and understanding algorithms from which Toolbox users can construct document image processing systems. An algorithms for font attribute recognition based on the image analysis techniques available in ...


User-assisted archive document image analysis for digital library construction

Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings., 2003

A configurable archive document image analysis system for digital library construction has been designed using rapid prototyping and top-down iterative development methods. This approach has been found to be essential in order to capture the curators' expertise about existing card archive structures, content and databases. The design currently achieves about 93% correct segmentation of the required archive card fields overall, ...


A new framework for efficient and flexible analysis of the performance of document image analysis subsystems

Image Processing And Its Applications, 1999. Seventh International Conference on (Conf. Publ. No. 465), 1999

The need for objective evaluation of the performance of image analysis algorithms is now widely acknowledged and a number of techniques have been devised for various subsystems. In the field of document image analysis (DIA), significant activity has concentrated on evaluating OCR results. In the case of OCR the comparison of experimental results with ground truth is straightforward (ASCII characters) ...


Automatic Ground-truth Generation for Document Image Analysis and Understanding

Ninth International Conference on Document Analysis and Recognition (ICDAR 2007), 2007

Performance evaluation for document image analysis and understanding is a recurring problem. Many ground- truthed document image databases are now used to evaluate algorithms, but these databases are less useful for the design of a complete system in a precise context. This paper proposes an approach for the automatic generation of synthesised document images and associated ground- truth information based ...


Promises and challenges of digital libraries and document image analysis: a humanist's perspective

First International Workshop on Document Image Analysis for Libraries, 2004. Proceedings., 2004

Current developments in document image analysis promise to expand dramatically the size and potential usefulness of digital libraries for many disciplines, and indeed to change fundamental aspects of the way the disciplines are defined and practiced. This article offers a tour of selected humanities uses of document images to date, a glimpse of the fundamental transformations in professional practices looming ...


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Educational Resources on Document Image Analysis

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IEEE-USA E-Books

  • The ISL document image analysis toolbox

    This paper describes the Document Image Understanding Toolbox currently under development at the University of Washington's Intelligent Systems Laboratory. The Toolbox provides a common data structure and a variety of document image analysis and understanding algorithms from which Toolbox users can construct document image processing systems. An algorithms for font attribute recognition based on the image analysis techniques available in the toolbox ISL DIU Toolbox is also presented.

  • User-assisted archive document image analysis for digital library construction

    A configurable archive document image analysis system for digital library construction has been designed using rapid prototyping and top-down iterative development methods. This approach has been found to be essential in order to capture the curators' expertise about existing card archive structures, content and databases. The design currently achieves about 93% correct segmentation of the required archive card fields overall, with 81.3% of all archive cards in a testset of 2000 images having all fields correctly segmented and labeled. Analysis of errors in the testset indicates that heavily-annotated cards and non-standard card formats comprise 5-10% of the overall archive, and a significant proportion of these are unlikely to be resolvable without curatorial intervention.

  • A new framework for efficient and flexible analysis of the performance of document image analysis subsystems

    The need for objective evaluation of the performance of image analysis algorithms is now widely acknowledged and a number of techniques have been devised for various subsystems. In the field of document image analysis (DIA), significant activity has concentrated on evaluating OCR results. In the case of OCR the comparison of experimental results with ground truth is straightforward (ASCII characters) and lends itself to more elaborate analysis using string-matching theory to calculate errors and associated costs. Consequently, it is possible to automate OCR evaluation using large-scale test-databases. Large-scale testing and evaluation is essential not only for OCR but for each of the subsystems involved in DIA also. For instance, the identification of regions of interest in the document page image (page segmentation) and the type of their content (page classification) are significant stages that seriously affect the performance of subsequent DIA stages (e.g. OCR, document image understanding etc.). The work described focuses on subsystems the layout analysis stage. The most subsystems in this stage are page segmentation and classification. The framework described in this paper is focused mainly on performance analysis. A scoring system is also used to provide developers with a higher-level view of the performance of a method in particular aspects. Furthermore, a global score can be easily produced for benchmarking purposes if required.

  • Automatic Ground-truth Generation for Document Image Analysis and Understanding

    Performance evaluation for document image analysis and understanding is a recurring problem. Many ground- truthed document image databases are now used to evaluate algorithms, but these databases are less useful for the design of a complete system in a precise context. This paper proposes an approach for the automatic generation of synthesised document images and associated ground- truth information based on a derivation of publishing tools. An implementation of this approach illustrates the richness of the produced information.

  • Promises and challenges of digital libraries and document image analysis: a humanist's perspective

    Current developments in document image analysis promise to expand dramatically the size and potential usefulness of digital libraries for many disciplines, and indeed to change fundamental aspects of the way the disciplines are defined and practiced. This article offers a tour of selected humanities uses of document images to date, a glimpse of the fundamental transformations in professional practices looming on the horizon for humanists and, along the way, a sidelong glance at humanists' persistent ambivalence as they hesitate at the threshold of the virtual library.

  • Making handwritten archives documents accessible to public with a generic system of document image analysis

    We present annotations needed for handwritten archive document retrieval by content. We propose two complementary ways of producing those annotations: automatically by using document image analysis and collectively by using Internet and a manual input by users. A platform for managing those annotations is presented as well as examples of automatic annotations on civil status registers, military forms (tested on 60000 pages) and naturalization decrees, using a generic document recognition method. Examples of collective annotations built on automatic annotations are also given. This platform will be officially open to public on Internet and inside the new building of the Archives departementales des Yvelines in December 2003. 1200000 images of civil status registers will be available for collective annotation as well as 35000 pages of military forms with automatic annotation of handwritten names.

  • Difficult and urgent open problems in document image analysis for libraries

    Open problems in document image analysis research and development relevant to digital libraries (DLs) are briefly described and their difficulty and urgency estimated. They are grouped according to the stage of processing, in the construction of DLs, where they first apply: image capture, early processing, content extraction and recognition, structure analysis, retrieval, & presentation; and in personal and interactive DLs.

  • UW-ISL document image analysis toolbox: an experimental environment

    A document image analysis toolbox including a collection of data structures and algorithms to support a variety of applications, is described in this paper. An experimental environment is built to allow developers to develop, test and optimize their algorithms and systems. Appropriate and quantitative performance metrics for each kind of information a document analysis technique infers have been developed. The performance of each algorithm has been evaluated based on these metrics and the UW-III document image database which contains a total of 1600 English document images randomly selected from scientific and technical journals.

  • XML Data Representation in Document Image Analysis

    This paper presents the XML-based formats ALTO, TEI, METS used for digital libraries and their interest for data representation in a document image analysis and recognition (DIAR) process. In the first part we briefly present these formats with focus on their adequacy for structural representation and modeling of DIAR data. The second part shows how these formats can be used in a reverse engineering process. Their implementation as a data representation framework will be shown.

  • Document image analysis with OCRopus

    Document image analysis is the field of converting paper documents into an editable electronic representation by performing optical character recognition (OCR). In recent years, there has been a tremendous amount of progress in the development of open source OCR systems. OCRopus is one of the leading open source document analysis system with a modular and pluggable architecture. This paper presents an overview of different steps involved in a document image analysis system and illustrates them with examples from OCRopus.



Standards related to Document Image Analysis

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No standards are currently tagged "Document Image Analysis"


Jobs related to Document Image Analysis

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