Designing Individual Optimistic and Pessimistic Emotional Tendency Identification System Based on Digital Image Processing

Handwriting analysis, commonly referred to as Graphology, can reflect a person's personality because writing movements are controlled by the brain, which contains memories about various life experiences and stored in the subconscious. Currently, the process of identifying human personality through handwriting or Graphology is still performed manually. This process requires a reference book to analyze every aspect of a person's handwriting. As well as the baseline pattern of handwriting, still performed manually to decide whether it tends to be up, down, or straight. In this paper, the aspects studied were the primary writing lines to identify a person's personality traits and characteristics towards emotional individuals with optimistic and pessimistic characters. The test is carried out using the method classification of the ArcTan geometric formula to determine the angle of slanted of the line basic handwriting. System inputs were using handwriting samples obtained from 42 subjects, ranging from 19–27 years old. The system was designed to identify two classes of emotions, which are optimistic and pessimistic. Then three essential line aspects of handwriting, namely tend up, tend down, and straight, were classified according to the arctan geometric formula. The accuracy of this graphology system is 90.47%; it can be concluded that the system successfully identifies handwriting per 1 line or 1 page of HVS paper.