A strange algorithm for fingerprint based age estimation using frequency domain and pattern recognition techniques

Abstract

Identifying the age from the unique mark of a new individual is a developing field of constructing studies. to perform this age component diverse systems had been extensively applied. Dominant a part of strategies makes use of the parameters like facet check and area broadness of a given particular finger influence for identity of the age estimation of that distinct person. Unique mark exam has enormous potential as a functioning machine for recognizable evidence of an person depending on both medical just as on restorative parameters. on this exploration work to select the age along their relationship recurrence vicinity and example acknowledgment methods were actualized for a hit grouping of finger prints two Dimensional Discrete Wavelet's (DWT) alongside independent component evaluation (ICA) are utilized to gauge the age factor from the unique mark statistics base. The statistics base which contains round 500 fingerprints of humans involving extraordinary age bunches inside the scope of 10 to 60 is considered for our exploration work. Multi-modular aid Vector gadget primarily based classifier is utilized for particular mark grouping. The exploratory consequences were arranged and from alongside those strains were given plots it changed into discovered that the talent of the proposed method is good.