An Evaluation of Cursive and Hand Printing Class Characteristic Significance in Limited Collected Writing Samples

The paper describes the results of an exercise that trainees can use to develop their own criteria for distinguishing among handwriting features, apply simple statistical methods to correlate features and develop a scheme for describing these characteristics that allow students to rate the degree of agreement between similar writings. By using a classification system involving letter shape, slant, height ratio, etc., one can subdivide the group of writings by roughly half with each feature to arrive at the closest match to a given model.