An optimal human tracking propagation using enhanced IRIS pattern in large scale biometrie environment

Abstract

Iris technology is used in various fields especially for security purposes like for as in military, data centers and airports because of its eccentricity and firmness. Among all other data from biometric such as fingerprint, voice-pattern and various data from soft biometric, iris proves it is the most efficient and unreplicable easily. This proposed approach is a concept of tracking every citizens of the nation all stages through his life from birth to death. Iris pattern of the person is captured and saved in the government database and the additional details has also been added corresponding to it. Once a person is registered, it gets automatically updated throughout all stages of his life until death. Till now for demographic analysis the government officials takes the census once in every five years. This system reduces the complexity by avoiding periodic updating of database and he effort that the government takes for this analysis. Daughman's algorithm is utilized in this project for its high percentage of accuracy. Hence, this project proposes the method of caching the population statistics with security and effective maintenance.