Human Behavioral Analysis Based on Handwriting Recognition and Text Processing
||International Journal of Computer Trends and Technology (IJCTT)||
|© 2018 by IJCTT Journal|
|Year of Publication : 2018|
|Authors : Poorna Banerjee Dasgupta|
|DOI : 10.14445/22312803/IJCTT-V64P101|
MLA Style: Poorna Banerjee Dasgupta "Human Behavioral Analysis Based on Handwriting Recognition and Text Processing" International Journal of Computer Trends and Technology 64.1 (2018): 1-4.
APA Style:Poorna Banerjee Dasgupta (2018). Human Behavioral Analysis Based on Handwriting Recognition and Text Processing. International Journal of Computer Trends and Technology, 64(1), 1-4.
Behavioral characteristics are one of the primary features that help in differentiating one person from another. Numerous studies have been conducted that have analyzed the psychological and emotional aspects of human behavior for a multitude of applications, ranging from anthropological studies and medical diagnoses to solving cases of crime. However, it is a lesser known fact that human behavior and psychology can be adjudged by analyzing an individual’s written texts and handwriting. Hence, this paper proposes and discusses an algorithmic approach for analyzing human behavioral characteristics through text processing and handwriting recognition, with the objective of incorporating the obtained results with futuristic artificial intelligence systems that can employ text processing and handwriting recognition as individualistic signatory features.
 Poorna Banerjee Dasgupta, Detection and Analysis of Human Emotions through Voice and Speech Pattern Processing, Vol. 52, No. 1, International Journal of Computer Trends and Technology, Oct. 2017.
 Javier G. Rázuri, David Sundgren, Rahim Rahmani, Antonio Moran Cardenas, Automatic Emotion Recognition through Facial Expression Analysis in Merged Images Based on an Artificial Neural Network, IEEE 12th Mexican International Conference on Artificial Intelligence, Nov. 2013.
 Bradford R R, Bradford R B, Introduction to Handwriting Examination and Identification, Nelson-Hall: Chicago, IL, 1992.
 Erica Patino, Understanding Dysgraphia. [Online]. Available: https://www.understood.org/
 Klara G. Roman, Handwriting: A Key to Personality, First Edition, Pantheon Books, New York, 1952.
 B. Nevo, Scientific Aspects of Graphology: A Handbook, Springfield Publications, IL: Thomas, 1986.
 (2016) The Handwriting and Graphology website. [Online]. Available: http://www.handwriting-graphology.com/  Beyerstein, Barry L, Beyerstein, Dale F, The Write Stuff: Evaluation of Graphology - The Study of Handwriting Analysis, First Edition, Buffalo: NY, Prometheus Books, 1992.  Bayne, R., O`Neill, F., Handwriting and personality: A test of some expert graphologists` judgments, Guidance and Assessment Review, Volume 4, (p) 1–3, 1988.
artificial intelligence, handwriting recognition, human psychology, text processing.