A survey on artificial intelligence-based approaches for personality analysis from handwritten documents

Human personality is a blend of different traits and virtues. It's modeling is challenging due to its inherent complexity. There are multitudinous cues to predict personality and handwriting is one of them. This is because it is distinctive to a large extent and varies at the individual level. The allied field of science which deals with the analysis of handwriting for understanding personality is known as Graphology. Researchers have discovered disparate features of handwriting that can reveal the personality traits of an individual. Several attempts have been made to model personality from handwriting in different languages but significant advancement is required for commercialization. In this paper, we present the reported aspects of handwriting, techniques for processing handwritten documents and evaluation measures for personality identification to draw a horizon and aid in further advancement of research in this field.