Identifying the Personality Traits based on Handwriting using ANN and MLP concept

In this digital era, where everything is connected through technology, comes the role of Artificial Intelligence. AI is becoming a source code of every component in this digital world. It is a unification of Machine Learning, Data Analysis and Deep Learning techniques. As already known, humans are very complex in nature and understanding their unique traits or characteristics is solely based on their handwriting as it can give a rich information and insights on where we can work upon. Also, graphology is the study of identifying, evaluating, and understanding human personality through their way of stroking, making different shapes of letters, use of strength while writing, and by creating patterns. This study utilizes various machine learning algorithms and approaches to perform computer aided graphology to understand their emotional, mental and physical state by using their handwriting. This study reviews the novel ways to implement the model by using different algorithms and techniques to better understand the traits of a writer. This study proposes a novel model for identifying the personality/characteristic traits based on individual handwriting using machine learning and compare it with the other techniques. The results are then compared with hybrid model.