Conferences related to Optical character recognition software

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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.


2020 IEEE International Conference on Industrial Technology (ICIT)

ICIT focuses on industrial and manufacturing applications of electronics, controls, communications, instrumentation, and computational intelligence.


2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.


2020 Optical Fiber Communications Conference and Exhibition (OFC)

The Optical Fiber Communication Conference and Exhibition (OFC) is the largest global conference and exhibition for optical communications and networking professionals. For over 40 years, OFC has drawn attendees from all corners of the globe to meet and greet, teach and learn, make connections and move business forward.OFC attracts the biggest names in the field, offers key networking and partnering opportunities, and provides insights and inspiration on the major trends and technology advances affecting the industry. From technical presentations to the latest market trends and predictions, OFC is a one-stop-shop.


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Periodicals related to Optical character recognition software

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Applied Superconductivity, IEEE Transactions on

Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission


Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Broadcasting, IEEE Transactions on

Broadcast technology, including devices, equipment, techniques, and systems related to broadcast technology, including the production, distribution, transmission, and propagation aspects.


Communications Magazine, IEEE

IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...


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.


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Most published Xplore authors for Optical character recognition software

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Xplore Articles related to Optical character recognition software

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Font clustering and classification in document images

2000 10th European Signal Processing Conference, 2000

Clustering and identification of fonts in document images impacts on the performance of optical character recognition (OCR). Therefore font features and their clustering tendency are investigated. Font clustering is implemented both from shape similarity and from OCR performance points of view. A font recognition algorithm is developed to identify the font group with which a given text was created.


Charge transfer imaging

1974 IEEE International Solid-State Circuits Conference. Digest of Technical Papers, 1974

Summary form only given, as follows. The rapidity with which solid-state imaging technology has advanced through-charge transfer techniques places the burden on the product planners to match capability to requirement. As evidenced by the papers to be presented, charge transfer does not mean a single product, but rather a range of products using the same basic technology. It will therefore ...


Ligature based optical character recognition of Urdu- Nastaleeq font

International Multi Topic Conference, 2002. Abstracts. INMIC 2002., 2002

None


Detecting and grouping words in topographic maps by means of perceptual concepts

2000 10th European Signal Processing Conference, 2000

We describe a method for the semi-automated extraction and clustering of characters occurring in scanned topographic maps. The method takes into account the oriented strings that are frequent in topographic maps. We describe the whole application but we emphasize the module devoted to string extraction based on a suitable human vision model related to this particular problem. The experimental results ...


Video Ghost Cancelling: Evaluation By Computer Simulations And Laboratory Tests

IEEE 1992 International Conference on Consumer Electronics Digest of Technical Papers, 1992

None


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Educational Resources on Optical character recognition software

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IEEE.tv Videos

GHTC 2012 Jim Fruchterman Keynote
2011 IEEE Awards Matt Ettus HKN Eminent Member Recognition
Welcome: Low Power Image Recognition Challenge
Optical Stealth Communication based on Amplified Spontaneous Emission Noise - Ben Wu - IEEE Sarnoff Symposium, 2019
Optical Innovation on Fast Forward - Dave Welch - IPC 2018
Multi-Level Optimization for Large Fan-In Optical Logic Circuits - Takumi Egawa - ICRC 2018
IMS 2011 Microapps - Ultra Low Phase Noise Measurement Technique Using Innovative Optical Delay Lines
IEEE 125th Anniversary Media Event: Pattern Recognition
An Energy-efficient Reconfigurable Nanophotonic Computing Architecture Design: Optical Lookup Table - IEEE Rebooting Computing 2017
Multi-Level Optical Weights in Integrated Circuits - IEEE Rebooting Computing 2017
Spatial-Spectral Materials for High Performance Optical Processing - IEEE Rebooting Computing 2017
On-chip Passive Photonic Reservoir Computing with Integrated Optical Readout - IEEE Rebooting Computing 2017
Demonstration of a Coherent Tunable Amplifier for All-Optical Ising Machines: IEEE Rebooting Computing 2017
Towards On-Chip Optical FFTs for Convolutional Neural Networks - IEEE Rebooting Computing 2017
Fuzzy Dynamic Programming: A Step Towards Cognitive Dynamic Programming
2012 IEEE Honors - Corporate Innovation Recognition
IEEE John von Neumann Medal - Patrick Cousot - 2018 IEEE Honors Ceremony
2011 IEEE Awards Corporate Innovation Recognition - imec
Experience ICRA 2015: Robot Challenges
An Integrated Optical Parallel Multiplier Exploiting Approximate Binary Logarithms - Jun Shiomi - ICRC 2018

IEEE-USA E-Books

  • Font clustering and classification in document images

    Clustering and identification of fonts in document images impacts on the performance of optical character recognition (OCR). Therefore font features and their clustering tendency are investigated. Font clustering is implemented both from shape similarity and from OCR performance points of view. A font recognition algorithm is developed to identify the font group with which a given text was created.

  • Charge transfer imaging

    Summary form only given, as follows. The rapidity with which solid-state imaging technology has advanced through-charge transfer techniques places the burden on the product planners to match capability to requirement. As evidenced by the papers to be presented, charge transfer does not mean a single product, but rather a range of products using the same basic technology. It will therefore be necessary that the product planner understand the precise capabilities and limitations of the alternatives offered him. Further, he needs to know the advantages the solid-state product can offer in comparison to existing approaches. This is not a one-way responsibility, however, for the device designer must realistically describe his products performance. Parameters that are loosely applied by analogy to image tubes, such as MTF and dynamic range, must be precisely defined. A further consideration is the fact that there are application potentials beyond conventional imaging - optical character recognition, point-of-sale date reading, and target tracking, to mention a few - that have their own particular requirements. Matching the device to the requirement is possible, but requires objective discussion between device designers and product planners.

  • Ligature based optical character recognition of Urdu- Nastaleeq font

    None

  • Detecting and grouping words in topographic maps by means of perceptual concepts

    We describe a method for the semi-automated extraction and clustering of characters occurring in scanned topographic maps. The method takes into account the oriented strings that are frequent in topographic maps. We describe the whole application but we emphasize the module devoted to string extraction based on a suitable human vision model related to this particular problem. The experimental results show the capability to exploit this method for semi-automated character extraction to the aim of building or updating data in Geographic Information Systems.

  • Video Ghost Cancelling: Evaluation By Computer Simulations And Laboratory Tests

    None

  • Down on the OCR farm: how we produced searchable PDFs for 7 million documents in a student computer lab

    The Legacy Tobacco Documents Library began with tobacco industry documents released to the public under the terms of the Master Settlement Agreement between the United States Attorneys General and five USA tobacco companies. Under terms of the agreement, approximately four million documents in digital format were produced in 2000. Roughly another three million have been produced since then and added to the collection. The documents were produced as TIF and PDF files. They were accompanied by some descriptive metadata and can be retrieved by elements such as date of production, title, author and document type. Unfortunately, metadata varies between companies, is inconsistent over time and was produced without authority control or keyword indexing. From the initial planning stages, the value of full-text searching of Legacy library documents was recognized, but prohibited by constraints on staff, software and system resources. Utilizing idle workstations in a student computer laboratory, 7 million searchable PDF documents were generated from 42 million TIF page images

  • The implementation methodology for a CD-ROM English document database

    Producing a database of scanned document images for development or evaluation of OCR and document image understanding algorithms is neither easy nor inexpensive. The authors first briefly describe the makeup of a database of scanned document images of scientific and technical documents written in English which are being produced in a CD-ROM format. Then, the authors concentrate on the implementation methodology used to prepare the database. The methodology gives the protocols for each step of the database preparation, and the error model used for the estimation of the ground-truth errors that may exist in the database is discussed.<<ETX>>

  • Automatic detection of italic, bold and all-capital words in document images

    We propose simple and fast algorithms for detection of italic, bold and all- capital words without doing actual character recognition. We present a statistical study which reveals that the detection of such words may play a key role in automatic information retrieval from documents. Moreover, detection of italic words can be used to improve the recognition accuracy of a text recognition system. Considerable number of document images have been tested and our algorithms give accurate results on all the tested images, and the algorithms are very easy to implement.

  • Script independent angular skew detection and correction algorithms

    Document digitalization is done in a large scale for hand written and printed documents, where the documents are scanned and stored in a digital form. Maximum number of these documents are hand written, and hence, they comprise of various errors like angular skewness of words, or sentence as a whole. Before the document can be digitalised using OCR software, it is pre-processed for angular skew detection and their removal from the scanned document. Detection and correction of angular skewness of the words is the most difficult task for the process, which must be carried out as this skewness is present in almost all of the hand written words. In this paper, we propose and test algorithms independent of the script to detect and correct angular skewness.

  • Underline removal method by utilizing characteristics of Japanese business documents

    In this paper we propose an underline removal method specific to Japanese business document. Automated removal of underlines is important, because underline is the main cause of OCR misrecognition. The main feature of our method is to remove various types of underlines such as touched, inclined, and blurred lines by line template matching. Moreover, our method makes it possible to remove all possible underlines by excluding table ruled lines which are necessary for document structure analysis. The experimental result demonstrates that the proposed method is able to improve OCR recognition accuracy.



Standards related to Optical character recognition software

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