Usually an implementation of the Levenshtein distance also called edit distance is used for this. This will find matches based on the minimum number of edits needed to transform one string into the other, counting all insertions, deletions, or substitutions of a single character as a measure for the "cost" - candidates are then strings that have the minimum cost.
Here's a link to an article with a generic implementation in C#.