Fingerprints have been used to positively used to identify people for many years. A distinct pattern emerges from the furrows and ridges on people's fingers and palms. Fingerprint analysis is based on the unique pattern, which is classified into the following categories: loops (52.71%), whorls (27.38%), arches (27.38%) and composite (15.28%). These specific features in finger do not change as people get older. Several decades of research reveal that these tendencies persist throughout a person's life. As a consequence, this fingerprint based gender identification will provide a new basis of differentiation in the field of fingerprints. The examination and investigation of ridge density, ridge breath, and ridge count will also be used to determine gender. After comparing the fingerprints it is found that ridge density is higher in female followed by male and then transgender. Keywords: Fingerprints, Transgender, Pattern.