Writer Identification Using Edge-Based Directional Features

  title={Writer Identification Using Edge-Based Directional Features},
  author={Marius Bulacu and Lambert Schomaker and Louis Vuurpijl},
This paper evaluates the performance of edge-based directional probability distributions as features in writer identification in comparison to a number of non-angular features. It is noted that the joint probability distribution of the angle combination of two ”hinged” edge fragments outperforms all other individual features. Combining features may improve the performance. Limitations of the method pertain to the amount of handwritten material needed in order to obtain reliable distribution… CONTINUE READING
Highly Influential
This paper has highly influenced 11 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 179 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.
115 Citations
8 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 115 extracted citations

179 Citations

Citations per Year
Semantic Scholar estimates that this publication has 179 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-8 of 8 references

Forensic writer identification: A benchmark data set and a comparison of two systems [internal report for the Netherlands Forensic Institute

  • L. Schomaker, L. Vuurpijl
  • Technical report, Nijmegen: NICI,
  • 2000
1 Excerpt

A computational model of cursive handwriting

  • L.R.B. Schomaker, A.J.W.M. Thomassen, H.-L. Teulings
  • Singapore: World Scientific,
  • 1989
1 Excerpt

Automatic identification of writers

  • F. Maarse, L. Schomaker, H.-L. Teulings
  • Human-Computer Interaction: Psychonomic Aspects,
  • 1988
1 Excerpt

Handwriting identification by means of run-length measurements

  • B. Arazi
  • IEEE Trans. Syst., Man and Cybernetics,
  • 1977
2 Excerpts

Similar Papers

Loading similar papers…