Please use this identifier to cite or link to this item:
Title: Development of an automated handwriting analysis system
Authors: Kamath, V.
Ramaswamy, N.
Navin, Karanth, P.
Desai, V.
Kulkarni, S.M.
Issue Date: 2011
Citation: Journal of Engineering and Applied Sciences, 2011, Vol.6, 9, pp.135-140
Abstract: In the present study a method has been proposed for the behavioral prediction of a person through automated handwriting analysis. The present work identifies the psychological traits in the writing namely size, slant and pressure, baseline, number of breaks, margins, speed of writing and spacing between the words. The handwriting is analyzed through Image Processing in MATLAB. The behavioral pattern of the person is predicted from the above traits of the handwriting. The developed system identifies handwriting closely which may not be possible for a graphologist. It is real time and involves less image preprocessing. The proposed system is calibrated with manual analysis. The results obtained through the system are in good agreement to more than 80 percent of the cases with ideal manual analysis. 2006-2011 Asian Research Publishing Network (ARPN).
Appears in Collections:1. Journal Articles

Files in This Item:
File Description SizeFormat 
10552.pdf434.44 kBAdobe PDFThumbnail

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.