Perception Based Decision Support System for Handwriting Behaviour Analysis

Handwritten text is potentially the most powerful and conventional means of personal authentication in Human Computer Interaction, with applications to be found in document analysis, deception detection, banking and many other areas. Handwriting is a complex perceptual motor task generating linguistic information. Characters reflect shape distinction needed to perceive different phonetic information of words. In this paper, we have tried to emphasize the role of perception and cognition in identifying unique characteristics of handwriting of any person to screen out deceptive and true statements as a computational model in the areas of Pattern Recognition and Human Computer Interaction. The paper reports the prototype development of a decision support system based on handwriting behavior analysis.