Determination of sex from hand and finger dimensions in a regional eastern Indian population using discriminant function analysis

2020 ◽  
Vol 42 (3) ◽  
pp. 167-171
Author(s):  
Kumarjit Sarkar ◽  
Soumeek Chowdhuri ◽  
Tapas Kumar Bose
Keyword(s):  
Discriminant Function ◽  
Discriminant Function Analysis ◽  
Indian Population ◽  
Function Analysis

scholarly journals Determination of sex by discriminant function analysis of mandibles from a Central Indian population

2015 ◽  
Vol 7 (1) ◽  
pp. 37 ◽  
Author(s):  
KanchankumarP Wankhede ◽  
RajeshV Bardale ◽  
GunwantR Chaudhari ◽  
NamdeoY Kamdi
Keyword(s):  
Discriminant Function ◽  
Discriminant Function Analysis ◽  
Indian Population ◽  
Function Analysis

scholarly journals Identification of sex using discriminant function analysis of fingerprint ridge density at three topological areas among North Indian population

2020 ◽  
Vol 83 (4) ◽  
pp. 349-361
Author(s):  
Maninder Kaur ◽  
Mankamal Kaur ◽  
Jigmath Yangchan
Keyword(s):  
Discriminant Function ◽  
Discriminant Function Analysis ◽  
Indian Population ◽  
Function Analysis ◽  
North Indian Population ◽  
Left Hand ◽  
The North ◽  
Study Population ◽  
The Right ◽  
Multivariate Discriminant

AbstractThe present study attempted to identify sex of an individual using a fingerprint ridge density at three topological areas in the North Indian population. The study population consisted of 134 males and 136 females aged 17 to 25 years (mean age 19.34±2.12). Ridge density (RD) at radial, ulnar and proximal topological areas of the distal phalanges were determined on the surface area of 25mm2. Fingerprint ridge density in a defined area was significantly higher among females as compared to their male counterparts at radial, ulnar and proximal topological areas for both hands. Sexual dimorphic ratio also supported this trend for all three counting areas in right and left hands. Univariate discriminant function analysis explained that the left 2 radial (L2R) (88.1%) had the highest percentage of accuracy for sex identification, followed by the left 3 ulnar (L3U) (82.1%) and the right 2 ulnar (R2U) (81.6%). Multivariate discriminant function analysis showed that the radial topological area of the left hand was the best predictor of sex with the overall accuracy of 84.4%with following discriminant function equation −8.263 − 0.236(L1R) + + 0.321(L2R) + 0.269(L3R) + 0.268(L4R) − 0.067(L5R).It can be inferred that ridge density in the radial topological area of left hand is the most reliable tool for identifying the sex of an individual.

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