Edit distance of run-length encoded strings

Ora Arbell, Gad M. Landau, Joseph S.B. Mitchell

Research output: Contribution to journalArticlepeer-review


An algorithm to calculate the edit distances of run-length encoded strings was presented. Runlength-encoding was described as a popular image compression technique used in facsimile transmission or for optical character recognition. The definitions of edit distances, longest common sequences (LCS), run-length encoded strings were also presented.

Original languageEnglish
Pages (from-to)307-314
Number of pages8
JournalInformation Processing Letters
Issue number6
StatePublished - 30 Sep 2002

Bibliographical note

Funding Information:
2Partially supported by grants from the Binational Science Foundation, HRL Laboratories, the National Science Foundation (CCR-9732221, CCR-0098172), NASA Ames Research Center, Northrop-Grumman Corporation, Sandia National Labs, Seagull Technology, and Sun Microsystems.

Funding Information:
1 Partially supported by by the Israel Science Foundation grants 173/98 and 282/01.

Funding Information:
* Corresponding author. Partially supported by NSF grants CCR-9610238 and CCR-0104307, by NATO Science Programme grant PST.CLG.977017, by the Israel Science Foundation grants 173/98 and 282/01, by the FIRST Foundation of the Israel Academy of Science and Humanities, and by IBM Faculty Partnership Award. E-mail addresses: ora@cs.haifa.ac.il (O. Arbell), landau@poly.edu (G.M. Landau), jsbm@ams.sunysb.edu (J.S.B. Mitchell).


  • Algorithms
  • Dynamic programming
  • Edit distance
  • Run-length compression
  • String matching

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Signal Processing
  • Information Systems
  • Computer Science Applications


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