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  1. International Journal of Document Analysis and Recognition (IJDAR)
  2. International Journal of Document Analysis and Recognition (IJDAR) : Volume 19
  3. International Journal of Document Analysis and Recognition (IJDAR) : Volume 19, Issue 4, December 2016
  4. Text/shape classifier for mobile applications with handwriting input
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International Journal of Document Analysis and Recognition (IJDAR) : Volume 20
International Journal of Document Analysis and Recognition (IJDAR) : Volume 19
International Journal of Document Analysis and Recognition (IJDAR) : Volume 19, Issue 4, December 2016
Document segmentation and classification into musical scores and text
A system for recognizing online handwritten mathematical expressions by using improved structural analysis
Conservative preprocessing of document images
A fast hierarchical method for multi-script and arbitrary oriented scene text extraction
Consensus-based clustering for document image segmentation
Text/shape classifier for mobile applications with handwriting input
International Journal of Document Analysis and Recognition (IJDAR) : Volume 19, Issue 3, September 2016
International Journal of Document Analysis and Recognition (IJDAR) : Volume 19, Issue 2, June 2016
International Journal of Document Analysis and Recognition (IJDAR) : Volume 19, Issue 1, March 2016
International Journal of Document Analysis and Recognition (IJDAR) : Volume 18
International Journal of Document Analysis and Recognition (IJDAR) : Volume 17
International Journal of Document Analysis and Recognition (IJDAR) : Volume 16
International Journal of Document Analysis and Recognition (IJDAR) : Volume 15
International Journal of Document Analysis and Recognition (IJDAR) : Volume 14
International Journal of Document Analysis and Recognition (IJDAR) : Volume 13
International Journal of Document Analysis and Recognition (IJDAR) : Volume 12
International Journal of Document Analysis and Recognition (IJDAR) : Volume 11
International Journal of Document Analysis and Recognition (IJDAR) : Volume 10
International Journal of Document Analysis and Recognition (IJDAR) : Volume 9
International Journal of Document Analysis and Recognition (IJDAR) : Volume 8
International Journal of Document Analysis and Recognition (IJDAR) : Volume 7
International Journal of Document Analysis and Recognition (IJDAR) : Volume 6
International Journal of Document Analysis and Recognition (IJDAR) : Volume 5
International Journal of Document Analysis and Recognition (IJDAR) : Volume 4
International Journal of Document Analysis and Recognition (IJDAR) : Volume 3
International Journal of Document Analysis and Recognition (IJDAR) : Volume 2
International Journal of Document Analysis and Recognition (IJDAR) : Volume 1

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Text/shape classifier for mobile applications with handwriting input

Content Provider SpringerLink
Author Degtyarenko, Illya Radyvonenko, Olga Bokhan, Kostiantyn Khomenko, Viacheslav
Copyright Year 2016
Abstract The paper provides a practical solution to a real-time text/shape differentiation problem for online handwriting input. The proposed structure of the classification system comprises stroke grouping and stroke classification blocks. A new set of features is derived that has low computational complexity. The method achieves 98.5 % text/shape classification accuracy on a benchmark dataset. The proposed stroke grouping machine learning approach improves classification robustness in relation to different input styles. In contrast to the threshold-based techniques, this grouping adaptation enhances the overall discriminating accuracy of the text/shape recognition system by 11.3 %. The solution improves system’s response on a touch-screen device.
Starting Page 369
Ending Page 379
Page Count 11
File Format PDF
ISSN 14332833
Journal International Journal of Document Analysis and Recognition (IJDAR)
Volume Number 19
Issue Number 4
e-ISSN 14332825
Language English
Publisher Springer Berlin Heidelberg
Publisher Date 2016-10-20
Publisher Place Berlin, Heidelberg
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Handwriting Hand-drawing Free-form input Real-time recognition Stroke classification Touch-screen device Human–machine interaction Image Processing and Computer Vision Pattern Recognition
Content Type Text
Resource Type Article
Subject Computer Science Applications Computer Vision and Pattern Recognition Software
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