PREDICTION OF PERSONALITY THROUGH SIGNATURE AND HAND GEOMETRY
Journal Title: International Journal of Computer Science and Engineering - Year 2019, Vol 8, Issue 3
Abstract
Human hand and signature both endow various personalities of an individual that depicts the distinctiveness of an individual. The present work recognized different characteristics through features of hand namely palm shape ratio and finger index proportional ratio for categorization of hand shape as Air, Fire, Water, and Earth which also involved the features of signature such as curved start, ending stroke, underscore, the appearance of the dot on letter and streaks disconnected. The fusion of these two modalities with respect to predictive models and Big Five Factors; produces an 88.0% accuracy rate and is found to be more efficient in predicting the personality of an individual.
Authors and Affiliations
Vaishali R. Lokhande, Santwana G. Mishra, Bharti W. Gawali
Keywords
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