Age and Gender Determination from Finger Prints using RVA and dct Coefficients

In the presented work, age and gender of a person from finger print impression has been worked out. The novelty in the solution lies in the fact that the identification of age and sex is independent from the pressure i.e. finger prints thickness or ridge/valley thickness. The age and gender finger prints are classified on the basis of ridge to valley area, entropy and rms value of dct coefficients. The classification is described in the result section