Today generation is based on the new technology and amount of information is increasing day by day and protection has become difficult. Individual identification becomes main requirement for personal, legal, social and for other reasons. Accurate identification and authentication plays a major role for security. Investigation procedure has been modified drastically and we are witnessing the velocious unfolding of the scientific world. Fingerprint, palm prints verification is one of the most reliable personal identification method and it plays a very important role in forensic application like criminal investigation, which was once bound solely to patterns has opened new ways for the identification. Ridge density is among one of the neoteric advancements where one can count the number of ridges per unit area of all the ten fingers and their mean can be used for the calculation. In this present study, 200 samples including 100 males and 100 females from both hands were collected from the population of Haryana for the feminine discrimination. In the duration of this study, it was observed that the females have higher number of ridge count in 9mm2 following the standard procedure. From this study, it was concluded that the higher ridge densityis more likely to be of females whereas lower ridge density tends to be of male high level of confidence (P < 0.01). With above given parameters, it will be very helpful to exclude out a major section of suspects for conclusive identification.
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