Errors with names occur frequently. “California” and “CA” refer to the same state of the USA; however, they may both appear as records in a database at the same time. Several techniques need to be proposed to solve these problems. In this chapter, the authors introduce the methods of entity resolution on names. They propose three methods. Similarity measure between names is a kind of fundamental techniques; it makes a significant contribution to the textual similarity. The method of string transformations can handle some situations beyond textual similarity. Recently, learning algorithms on string transformations have been proposed to make matching robust to such variations. Examples illustrate the benefits of each approach.