Automatic Personality Analysis through Signatures

Abstract

Handwriting analysis or Graphology is the most widely used tool for personality analysis. Writing is a process in which the brain and muscles are involved. Each time a person writes a particular thing specific neuro-motor control is triggered and almost same pattern is generated. These neuro-motor controls are highly affected by age, behavior, drug addiction etc. That is why Signatures or handwriting are treated as behavioral biometric. Specific behavioral traits are associated with a specific signature pattern. These patterns can easily be decoded by skilled graphologists. This paper proposes an automated technique to identify some basic traits of the person on the basis of his/her signature. The proposed system uses basic signature traits like proportion, size, baseline, slanting and space to identify behavioral traits of the signer. Personality types are divided into four pairs of dominant traits. Each pair consist of two extremes. The signer is characterized on the basis of these dominant classes.