Computational Graphology Systems that reveal peoples character from their handwritten data

Journal of Computer Science & Systems Biology

ISSN: 0974-7230

Open Access

Computational Graphology Systems that reveal peoples character from their handwritten data

Joint Event on 7th International Conference on Biostatistics and Bioinformatics & 7th International Conference on Big Data Analytics & Data Mining

September 26-27, 2018 | Chicago, USA

Ching Y Suen

Concordia University, Canada

Keynote: J Comput Sci Syst Biol

Abstract :

Graphology is a scientific study and analysis of handwriting. It is a practical way of interpreting behavior from examining the peculiarities in handwriting, such as determining people's psychological, social, occupational and medical attributes, as well as their moral stature. Handwriting Analysis has been shown as an effective and reliable indicator of personality and behavior and has become a useful tool for many organizational processes, e.g. recruitment, interviewing and selection, teambuilding, counseling and career-planning. This talk will show how handwriting analysis is computerized, what features to look for, methods of investigating the formation of some characters, connectivity between letters, spacing and slant, pen pressure, letter size and placement of strokes and the presentation and structure of the handwritten document. We shall touch on both computational and psychological aspects in the processing of large volumes of data. The handwriting of famous people and of diversified groups of professionals will be presented, across different languages and over long periods of time. Also, life demos will be given.

Biography :

Concordia University, Montreal, Canada Section Editor and Emeritus Editor-in-Chief of Pattern Recognition, Elsevier Editor of Book Series on Language Processing, Pattern Recognition and Intelligent Systems, World Scientific Publishing Co. General Chair, Int. Conf. on Pattern Recognition and Artificial Intelligence, Fellow of the Royal Society of Canada, Fellow IEEE, Fellow IAPR Author of 14 books and more than 500 technical papers.



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