Computer Aided Graphology for Farsi Handwriting

Graphology is the science of study and analysis of the personality of an individual from his/her style of handwriting. In western communities, the most important application of graphology is the recruitment of job applicants. In this regard, computer aided extraction and analysis of features from handwriting can be of great assistance to graphologists. The most predominant features of handwriting employed in graphological analyses include the shape of the page margins, line spacing, line skew, word slant, corner sharpness, size of letters, text density, writing speed and regularity of writing. In this paper, for the first time, a number of methods are presented for automated extraction of these features from Farsi handwriting. Experimental results on 24 training and 118 test samples are presented and discussed.