An Intelligent Approach for Age Detection Using Finger Prints

The forensic investigators always search for fingerprint evidence which is seen as one of the best types of physical evidence linking a suspect to the crime. Discrete Wavelet Transform (DWT), the Singular Value Decomposition (SVD) and Principal Component Analysis (PCA) has been used to estimate a person‟s age using his/her fingerprint. Mostly K nearest neighbor (KNN) is used as a robust classifier. The evaluation of the system is carried on using internal database of male and female fingerprints. Tested fingerprint is grouped into any one of the following five groups: upto 12, 13 -19, 20 -25, 2635 and 36 and above. The sample database is taken with the value of both male and female. The objective of this paper is also to classify the right hand fingerprints and identify whether it belong to male or female and determine his/her age. KeywordsGender Classification, Fingerprint, Discrete Wavelet Transform, Singular Value Decomposition, Principle Component Analysis, k nearest neighbor.