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Background Palm print recognition is a biometric technology which recognizes a person based on his/her palm print pattern. Palm print serves as a reliable human identifier because the print patterns are not duplicated in other people, even in monozygotic twins. More importantly, the details of these ridges are permanent Method: In the current study, The four prominent areas were analysed on the palm prints that included central prominent part of the thenar eminence (P1), hypothenar region; inner to the proximal axial triradius (P2), medial mount; proximal to the triradius of the second digit (P3) and lateral mount; proximal to the triradius of the fifth digit (P4). areas were taken, by inking method, from 200 healthy Egyptian subjects of different ages and both sexes (113 males and 87 females). Ridge count per 25mm2 was determined together with assessment of ridge pattern type. The subjects were divided into four age groups; from 6-&amp;lt;12, from 12-&amp;lt;18, from 18-&amp;lt;40 and ≥40 years Results Females had higher palm ridge density in all palm areas as well as total in both hands than males, there was a statistical significant difference in mean ridge density of individual palm areas as well as total of both hands, between different age groups within males and females separately (p &amp;lt; 0.001**), except in left P1 and P4 in females. There was a statistical significant negative correlation between the age and ridge density of the right hand p2, There was a highly statistical significant difference between the ridge density in the Left hand P3 and right hand p3 and between Left hand p4 and right hand p4 (p &amp;lt; 0.0001** for both) in both males and females but there was no statistical significant difference between Left hand P1 and right hand p1 as well as between the Left hand p2 and right hand p2 in both males and females, There was a highly statistical significant difference between all areas of right hand in both males and females (p &amp;lt; 0.05) There was a highly statistical significant difference between all areas of left hand in male and female except between left p4- p1 Conclusions In the current research, we were able to prove that palm prints ridge density can be help in gender and age identification.

Palm ridge density as anew identifier for age and sex in forensic medicine