Graphology based handwritten character analysis for human behaviour identification

Graphology based handwritten character analysis for human behaviour identification

Graphology-based handwriting analysis to identify human behavior, irrespective of applications, is interesting. Unlike existing methods that use characters, words and sentences for behavioural analysis with human intervention, we propose an automatic method by analysing a few handwritten English low...

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Bibliographic Details
Main Authors: Subhankar Ghosh, Palaiahnakote Shivakumara, Prasun Roy, Umapada Pal, Tong Lu
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:CAAI Transactions on Intelligence Technology
Subjects:
handwritten character recognition
feature extraction
behavioural sciences computing
human behaviour identification
graphology based handwriting analysis
human intervention
behavioural analysis
handwritten english
person behaviours
structural features
cursive lines
straight lines
stroke thickness
contour shapes
aspect ratio
geometrical properties
isolated character images
automatic privacy projected system
graphological rules
Online Access:https://digital-library.theiet.org/content/journals/10.1049/trit.2019.0051

Internet

https://digital-library.theiet.org/content/journals/10.1049/trit.2019.0051

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