The State of the Art in Online Handwriting Recognition

  title={The State of the Art in Online Handwriting Recognition},
  author={Charles C. Tappert and Ching Yee Suen and Toru Wakahara},
  journal={IEEE Trans. Pattern Anal. Mach. Intell.},
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… 

An Overview of Handwriting Recognition

The role of handwriting recognition in accordance with today's maturing technologies is clarified and the components that build handwriting recognition and related technologies such as OCR (Optical Character Recognition) and Signature Veriication are list and clarified.


This review describes the state of the art of Character recognition during a period of renewed activity in the field. It is based on an extensive review of the literature, including conference

Automatic Recognition of Handwritten Characters

The performance of various techniques for recognizing totally unconstrained handwritten characters are reviewed and compared and new ideas and promising areas of research are pointed out for discussion.

Preprocessing Techniques for Online Handwriting Recognition

  • B. HuangY. ZhangM. Kechadi
  • Computer Science
    Seventh International Conference on Intelligent Systems Design and Applications (ISDA 2007)
  • 2007
The approach is to first remove the hooks of the strokes by using changed-angle threshold with length threshold, then filter the noise by using a smoothing technique which is the combination of the cubic spline and the equal-interpolation methods.

On-line cursive handwriting recognition: a survey of methods and performances

A detailed review of prior techniques and applications for on-line cursive handwriting recognition, since most have been used in cursive script recognition as well.

A Review on Character Recognition Techniques

This paper provides a comprehensive review of existing works in handwritten character recognition based on soft computing technique during the past decade.

On-The-Fly Handwriting Recognition Using a High-Level Representation

A handwriting recognition system that processes the input data during writing and thus detects misspelled characters on the fly from their origin is presented.

Handwriting recognition-the last frontiers

The nature of the problem, state of the art of handwriting recognition at the turn of the new millennium, and the results of CENPARMI researchers in automatic recognition of handwritten digits, touching numerals, cursive scripts, and dates formed by a mixture of the former 3 categories are summarized.

OCR: handwriting

This new stage in the evolution of handwriting processing results from a combination of several elements: improvements in recognition rates, the use of complex systems integrating several kinds of information, the choice of relevant application domains, and new technologies such as high quality high speed scanners and inexpensive, powerful CPUs.



Automatic recognition of handprinted characters—The state of the art

Recognition algorithms, data bases, character models, and handprint standards are examined and Achievements in the recognition of handprinted numerals, alphanumerics, Fortran, and Katakana characters are analyzed and compared.

Real-time recognition of handprinted text

  • G. Groner
  • Computer Science, Art
    AFIPS '66 (Fall)
  • 1966
This research investigates the automatic recognition of handwritten and machine-printed symbols by using special electronics for the analysis and recognition of characters or words as they are being written.

Online recognition of free-format Japanese handwritings

  • H. Murase
  • Computer Science
    [1988 Proceedings] 9th International Conference on Pattern Recognition
  • 1988
An online recognition method, called the candidate lattice method, is described for free-format written Japanese character strings, which may contain characters with separated constituents or

Designing a Handwriting Reader

  • D. Burr
  • Computer Science
    IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 1983
The simpler problem of recognizing separated hand-written letters is addressed here, and a warp-based character matching technique is employed with dictionary lookup, using a 16 000 word vocabulary.

Experiments in the recognition of hand-printed text, part II: context analysis

The work described in this paper is part of a larger effort aimed at the recognition of hand-printed text. In a companion paper, Munson describes the scanning of the text, and the preprocessing and

Feature Analysis for Symbol Recognition by Elastic Matching

The incorporation of feature analysis with elastic matching to eliminate unlikely prototypes is presented and is shown to greatly reduce the required processing time without any deterioration in recognition performance.

Real-Time Recognition of Handwritten Numerals

A device affording real-time recognition, independent of the constraints usually required of the writer, has been used and the procedure implemented is described.

Devices for reading handwritten characters

  • T. Dimond
  • Computer Science
    IRE-ACM-AIEE '57 (Eastern)
  • 1957
In the last five years, much thought and effort have gone into the development of printed character-recognition devices. Varying degrees of success have been achieved. In some cases, ingeniously