Forecasting Little Finger Features from Middle Finger Width: A Novel Method
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Abstract
Hands may be affected by many disorders, most commonly traumatic injury. In treating hand problems, the mastery of anatomy is
fundamental in order to provide the best quality of care. The focus in this paper is on predicting geometric features of little finger from the
known width of the middle finger. Geometric features of both the hands from 100 people of different age group were extracted from the
silhouettes. The proposed method can be used to predict little finger length, position of knuckles and also finger width at the first and second
knuckle using taalamana system and shilpa shastra. The estimation accuracy of more than 91% is achieved for all the estimated features of the
little finger.
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Keywords: little finger features, golden mean, taalamana system, iconography, human hand, feature estimation.
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