Prediction of Middle Finger Features from its Width: A Novel Approach
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Abstract
This paper focus on the prediction of geometric features of middle finger from the known width of the 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 middle
finger length, position of knuckles and also finger width at the second knuckle using taalamana system and shilpa shastra. The estimation
accuracy of more than 91% is achieved for all the estimated features of the middle finger.
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Keywords: golden mean, taalamana system, iconography, human hand, feature estimation.
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