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Cited by 857Handwritten Text Recognition TechniquesVehicle License Plate RecognitionHand Gesture Recognition Systems

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The state of the art in online handwriting recognition

Tappert, C.C., Suen, C.Y., Wakahara, T.·1990·IEEE Transactions on Pattern Analysis and Machine Intelligence
DOI 10.1109/34.57669
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Abstract

This survey describes the state of the art of online handwriting recognition during a period of renewed activity in the field. It is based on an extensive review of the literature, including journal articles, conference proceedings, and patents. Online versus offline recognition, digitizer technology, and handwriting properties and recognition problems are discussed. Shape recognition algorithms, preprocessing and postprocessing techniques, experimental systems, and commercial products are examined.>

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  • The recognition of handwritten characters from a pen trajectory on a digitizing surface is often done in the time domain.

    “The recognition of handwritten characters from a pen trajectory on a digitizing surface is often done in the time domain [44], [110], [111].”

    From Gradient-based learning applied to document recognition (1998) · cites this paper as [111]

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Metadata

Authors
Tappert, C. C., Suen, C. Y., & Wakahara, T.
Affiliations
  • IBM Research - Thomas J. Watson Research Center (US)
  • Concordia University (CA)
  • NTT (Japan) (JP)
ORCID
Venue
IEEE Transactions on Pattern Analysis and Machine Intelligence
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
1990
Volume
12
Issue
8
Pages
787-808
ISSN
0162-8828 (ISSN-L)
DOI
10.1109/34.57669
OpenAlex
W2055075080
Cited by
857
References
0
Citations by year
2026: 4 · 2025: 16 · 2024: 14 · 2023: 19 · 2022: 21 · 2021: 23 · 2020: 24 · 2019: 11 · 2018: 26 · 2017: 25 · 2016: 18 · 2015: 15 · 2014: 30 · 2013: 21 · 2012: 41
FWCI
23.23
Type
journal article
Language
en
Open access
closed
Licence
ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)
Locations
IEEE Transactions on Pattern Analysis and Machine Intelligence (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Handwritten Text Recognition Techniques
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Vehicle License Plate Recognition
  • Physical Sciences › Computer Science › Human-Computer Interaction › Hand Gesture Recognition Systems
Keywords
online handwriting recognition, offline handwriting recognition

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