Title of article :
Prediction of Middle Finger Features from its Width: A Novel Approach
Author/Authors :
Manimala S.، نويسنده , , C.N. Ravi Kumar، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2010
Abstract :
This paper focus on the prediction of geometric features of middle finger from the known width of the finger. Geometric features ofboth the hands from 100 people of different age group were extracted from the silhouettes. The proposed method can be used to predict middlefinger length, position of knuckles and also finger width at the second knuckle using taalamana system and shilpa shastra. The estimationaccuracy of more than 91% is achieved for all the estimated features of the middle finger
Keywords :
golden mean , taalamana system , iconography , Human hand , feature estimation
Journal title :
International Journal of Advanced Research in Computer Science
Journal title :
International Journal of Advanced Research in Computer Science