The speakers are co-principal investigators in the Volgenau School’s Document Forensics Laboratory. One of the technologies they have developed involves the identification of the unknown writer of a questioned handwritten document from among a population of writers, who have handwriting samples in a database. They will explain how they have designed a system based on applying discriminant analysis in a novel manner to solve this handwriting identification problem. Graph theory is used to quantify handwritten characters yielding high-dimensional feature vectors capturing physical information for the characters. The statistical methodology selects and utilizes a small number of discriminating measurements from the high-dimensional feature vector. They will demonstrate the surprising writer identification power possible using very few lower-case letters of the alphabet.