respected sir,
I am doing project in estimation of age i dont know how to do ,so please give ideas and step by step process to do.
thank you
my mail id :rajarul84[at]yahoo.co.in

introduction
The science of fingerprints is typically used for identification or verification of identity and for official documentation. On the basis of existing varieties and from fingerprints, we can handle your identity along with gender, age and ethnicity. Primary dermal ridges (Ridge view) are formed during
gestational week 12-19 and the configuration of fingerprint ridge (fingerprint) ever recorded. Variations in the size range and sex differences in the Ridge width has been reported. Ridges and patterns have a number of properties that reflect individuals ' biology. Dermatoglifičeskie features a statistically different
between the sexes, ethnic groups and age groups. Research so far undertaken in the definition of sex used in ink fingerprints and their results are based on an analysis of the spatial field ridges. In General, the range of options, such as the calculation of fingerprint ridge, Ridge Crest thickness, density and thickness of the Valley of the diet, the width of the ridge and fingerprint templates and template types were used to determine the sex. All of the methods offered on the basis of fingerprint ridges have indicated about the parameters of the ranges, but could not give an accurate method of measuring parameters. This may be due to the measurements made on the signed fingerprint impressions and hand measurements, where human error is inevitable and recklessness. Bad impressions are inevitable due to one or more of the following reasons. Bad, thin or colored ink, Inkwell in poor condition, the fingers of foreign substances, refuse to roll the fingers completely, smears and blurry ingerprint due to slipping a finger or twist and enrolling and subject to poor communication. In addition, Crest thickness depends on the applied pressure and can provide false results on gender identification. Traditional methods use settings of the connected and
Frequency domain analysis for identification of gender. But not much work has been done to find the floor by using the picture property. Therefore, an attempt was made by a method that uses and analysis in the frequency domain and spatial domain analysis for identification.
Abstract:
Forensic investigators always look for fingerprints, evidence which is regarded as one of Thebest of physical evidence linking the suspect to the crime. In this article, discrete wavelettransform (DWT) and singular value decomposition (SVD) was used to estimate the age of aperson, using his or her finger. The most reliable K nearest neighbor (KNN) is used as the aclassifier. evaluation of the system is carried out using the internal database 3570fingerprints in 1980 were men whose fingerprints and 1590 were women's fingerprints. Testedfingerprint are grouped in any one of the following five groups: up to 12, 13-19, 20-25, 36 and 26-35and above. To the proposed way, fingerprints have been classified accurately by 96.67%, 71,75%, 86.26%, 76.39% and 53.14% in five groups, respectively, for men and by 66.67%, 63.64%, 76.77%, 72.41% and 16.79 per cent for females, Also reached finger the wise and wise hand score resultsof age.