"Signature verification through handwriting analysis is one of the most common tasks in forensic document analysis. It is very important to compare questioned writing/signatures with the genuine one, when it comes to data protection and identity management. We plan on utilizing machine learning to perform handwriting analysis by matching images of a questioned handwriting with the genuine ones to authenticate writing/signatures under the College of Computing and Informatics. Machine Learning algorithms will adapt and improve their performance as the number of handwriting samples increase for learning and do more accurate analysis. "