Publication Type : Conference Paper
Source : Smart Innovation, Systems and Technologies
Url : https://doi.org/10.1007/978-981-16-3675-2_40
Campus : Kochi
School : School of Arts and Sciences
Year : 2022
Abstract : Handwriting is one of many that makes a person distinctive in their identity, and it is the method of identifying the writer's physical characteristics. The computerization is becoming more advanced in different fields and thus, handwriting analysis is gaining more importance these days. For recognizing handwriting, deep learning has been commonly used. In this paper, we have contrived Resnet50 comparison with CNN to predict personality traits. Hence, handwriting is one of the easiest ways to collect information on physical characteristics, such as mental health, emotional state, physical strength and many more.
Cite this Research Publication : Nair, G.H., Rekha, V., Soumya Krishnan, M. (2022). Handwriting Analysis Using Deep Learning Approach for the Detection of Personality TraitsUbiquitous Intelligent Systems. Smart Innovation, Systems and Technologies, vol 243. Springer, Singapore. https://doi.org/10.1007/978-981-16-3675-2_40