Computer Aided Graphology for Farsi Handwriting
Subject Areas : electrical and computer engineering
A.
A. Bahrami Sharif
1
E.
Kabir
2
(Tarbiat Modares University)
Keywords: Graphologybinary image processingslant detectionskew detectionfeature extractionFarsi handwriting,
Abstract :
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 dominant features of handwriting employed in graphology include the shape of the page margins, line spacing, line skew, word slant, size of letters, text density, writing speed and regularity. In this paper a number of methods are proposed for automated extraction of some of these features from Farsi handwriting. Experimental results on 118 test samples of different writers are presented and discussed.
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