A Study of Personality Traits from Handwriting using Digital Image Processing
| Vol-3 | Issue-12 | December 2018 | Published Online: 10 December 2018 PDF ( 315 KB ) | ||
| Author(s) | ||
Sethi Ganesh Kumar
1;
Sharma Harmohan
2;
Komal
3
|
||
|
1Assistant Professor, Department of Computer Science, Multani Mal Modi College, Patiala, Punjab, India 2Assistant Professor, Department of Computer Science, Multani Mal Modi College, Patiala, Punjab, India 3Research Scholar, Department of Computer Science, Punjabi University, Patiala, Punjab, India |
||
| Abstract | ||
Handwriting is one of the unique traits to represent what individuals carry in their minds. Handwriting reveals the true personality of a person including character behavior, self-esteem, emotional outlay, imagination, anger, honesty, fearlessness, defenses, and many other personality characteristics. Handwriting analysis is commonly known as Graphology which is the scientific process for recognizing, investigating, and comprehending a writer’s personality through the styles and patterns in words in the handwriting. In this review paper, we have tried to summarize all earlier works reported in the development of automated handwriting script analysis for the prediction of character behavior and personality of the individuals. It has been observed in this review paper that most of the researchers have employed techniques of image processing in MATLAB and machine learning techniques in the development of automated handwriting analysis systems. This paper throws light on handwriting analysis, characteristics of handwriting, its associated personality traits, and a thorough literature survey of the earlier reported works on automated handwriting analysis systems. |
||
| Keywords | ||
| Graphology, handwriting analysis, Personality Traits, Digital Image Processing | ||
|
Statistics
Article View: 299
|
||


