Using Off-Line Features and Synthetic Data for On-Line Handwritten Math Symbol Recognition

Kenny Davila; Stephanie Ludi; Richard Zanibbi

doi:10.1109/ICFHR.2014.61

Using Off-Line Features and Synthetic Data for On-Line Handwritten Math Symbol Recognition

Kenny Davila
, Stephanie Ludi
, Richard Zanibbi

Department of Computer Science
Rochester Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Proceedings - 14th International Conference on Frontiers in Handwriting Recognition, ICFHR 2014
Publisher	IEEE (Institute of Electrical and Electronics Engineers)
Pages	323-328
Number of pages	6
ISBN (Electronic)	9781479943340
DOIs	https://doi.org/10.1109/ICFHR.2014.61
State	Published - Dec 9 2014
Externally published	Yes
Event	14th International Conference on Frontiers in Handwriting Recognition, ICFHR 2014 - Hersonissos, Crete Island, Greece Duration: Sep 1 2014 → Sep 4 2014

Publication series

Name	Proceedings of International Conference on Frontiers in Handwriting Recognition, ICFHR
Volume	2014-December
ISSN (Print)	2167-6445
ISSN (Electronic)	2167-6453

Conference

Conference	14th International Conference on Frontiers in Handwriting Recognition, ICFHR 2014
Country/Territory	Greece
City	Hersonissos, Crete Island
Period	9/1/14 → 9/4/14

ASJC Scopus Subject Areas

Computer Vision and Pattern Recognition
Computer Science Applications

Keywords

AdaBoost
Elastic Distortion
Handwritten Character Recognition
Off-line Features
Random Forest
SVM

Access to Document

10.1109/ICFHR.2014.61

Cite this

Davila, K., Ludi, S., & Zanibbi, R. (2014). Using Off-Line Features and Synthetic Data for On-Line Handwritten Math Symbol Recognition. In Proceedings - 14th International Conference on Frontiers in Handwriting Recognition, ICFHR 2014 (pp. 323-328). (Proceedings of International Conference on Frontiers in Handwriting Recognition, ICFHR; Vol. 2014-December). IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/ICFHR.2014.61

Using Off-Line Features and Synthetic Data for On-Line Handwritten Math Symbol Recognition. / Davila, Kenny; Ludi, Stephanie; Zanibbi, Richard.
Proceedings - 14th International Conference on Frontiers in Handwriting Recognition, ICFHR 2014. IEEE (Institute of Electrical and Electronics Engineers), 2014. p. 323-328 (Proceedings of International Conference on Frontiers in Handwriting Recognition, ICFHR; Vol. 2014-December).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Davila, K, Ludi, S & Zanibbi, R 2014, Using Off-Line Features and Synthetic Data for On-Line Handwritten Math Symbol Recognition. in Proceedings - 14th International Conference on Frontiers in Handwriting Recognition, ICFHR 2014. Proceedings of International Conference on Frontiers in Handwriting Recognition, ICFHR, vol. 2014-December, IEEE (Institute of Electrical and Electronics Engineers), pp. 323-328, 14th International Conference on Frontiers in Handwriting Recognition, ICFHR 2014, Hersonissos, Crete Island, Greece, 9/1/14. https://doi.org/10.1109/ICFHR.2014.61

Davila K, Ludi S, Zanibbi R. Using Off-Line Features and Synthetic Data for On-Line Handwritten Math Symbol Recognition. In Proceedings - 14th International Conference on Frontiers in Handwriting Recognition, ICFHR 2014. IEEE (Institute of Electrical and Electronics Engineers). 2014. p. 323-328. (Proceedings of International Conference on Frontiers in Handwriting Recognition, ICFHR). doi: 10.1109/ICFHR.2014.61

Davila, Kenny ; Ludi, Stephanie ; Zanibbi, Richard. / Using Off-Line Features and Synthetic Data for On-Line Handwritten Math Symbol Recognition. Proceedings - 14th International Conference on Frontiers in Handwriting Recognition, ICFHR 2014. IEEE (Institute of Electrical and Electronics Engineers), 2014. pp. 323-328 (Proceedings of International Conference on Frontiers in Handwriting Recognition, ICFHR).

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keywords = "AdaBoost, Elastic Distortion, Handwritten Character Recognition, Off-line Features, Random Forest, SVM",

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Using Off-Line Features and Synthetic Data for On-Line Handwritten Math Symbol Recognition

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

Other files and links

Cite this