The need to digitize written documents of any kind imposes the use of software systems capable of correctly interpreting the characters contained therein; The greatest challenge arises when these documents are manuscripts, because each person has their own writing characteristics. The present work is the result of an attempt to apply data mining techniques, particularly classification trees, for the recognition of manuscript digits; Despite not obtaining a full recognition of this type of scriptures, the results are interesting.
