Abstract:
Handwriting has undoubtedly been one of the oldest and most common means of communication that has advanced with the passage of time. Indeed the writing styles differ on the basis of geographical location, temporal, social and cultural situations but it has been proved that with time a person adopts his/her own writing style according to the personal preferences. Therefore it is said that in addition to the information in the text the writing is also the representation of a person’s demographics like age, gender, handedness and personality. Although the relation of handwriting and personality has remained doubtful and still needs to be proved on scientific grounds but person recognition through handwriting is practically being witnessed in various fields like forensics, graphology, psychology etc. Handwriting analysis has gained a significant
importance with respect to research since the initial decades of last century. Considering the handwriting analysis requirement the computer scientists thought to automate this process with the advanced techniques being used in image analysis and pattern classification.
