New Bit-Parallel Indel-Distance Algorithm

The task of approximate string matching is to find all locations at which a pattern string p of length m matches a substring of a text string t of length n with at most k di#erences. It is common to use Levenshtein distance [5], which allows the di#erences to be single-character insertions, deletions, or substitutions. Recently, in [3], the IndelMYE, IndelWM and IndelBYN algorithms where introduced as modified version of the bit-parallel algorithms of Myers [6], Wu&Manber [10] and Baeza-Yates&Navarro [1], respectively. These modified versions were made to support the indel distance (only single-character insertions and/or deletions are allowed). In this paper we present an improved version of IndelMYE that makes a better use of the bit-operations and runs 24.5 percent faster in practice. In the end we present a complete set of experimental results to support our findings