Handwriting synthesis: classifications and techniques

Yousef Elarian*, Radwan Abdel-Aal, Irfan Ahmad, Mohammad Tanvir Parvez, Abdelmalek Zidouri

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

31 Scopus citations

Abstract

Handwriting synthesis is the automatic generation of data that resemble natural handwriting. Although handwriting synthesis has recently gained increasing interest, the area still lacks a stand-alone review. This paper provides classifications for the different aspects of handwriting synthesis. It presents the applications, techniques, and evaluation methods for handwriting synthesis based on the several aspects that we identify. Then, it discusses various synthesis techniques. To the best of our knowledge, this paper is the only stand-alone survey on this topic, and we believe it can serve as a useful reference for the researchers in the field of handwriting synthesis.

Original languageEnglish
Pages (from-to)455-469
Number of pages15
JournalInternational Journal on Document Analysis and Recognition
Volume17
Issue number4
DOIs
StatePublished - Dec 2014

Bibliographical note

Publisher Copyright:
© 2014, Springer-Verlag Berlin Heidelberg.

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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