Identification of Personality Traits by Machine Learning Analysis of Signatures and Handwriting

Personality plays a crucial role in personal growth across various aspects of life, professional pursuits, individual success, family dynamics, and love compatibility. Analyzing handwriting is a vital method for understanding one's personality traits. Yet, the significance of a signature surpasses regular handwriting, holding four times its weight. Personality encompasses thoughts, behaviors, emotions, and desires, profoundly shaping an individual's success. Graphology, a scientific discipline, explores these traits by examining both handwriting and signatures, offering valuable insights into human character. Graphologists utilize these analyses to gain deeper insights into an individual's character. Signatures serve as public representations of a person, offering valuable glimpses into their social and external lives, thereby aiding individuals in gaining a profound understanding of themselves. This paper aims to employ machine learning in conjunction with graphology techniques to predict personality traits and provide insights into one's life.