Enhanced Surveillance Using Integration of Gait Analysis with Iris Detection

Abstract

The programmed way of establishing and validating the existing person upon their corporal and observable characters are termed as biometric technology. Due to the accuracy of the iris recognition, it becomes more dominant in the available biometric techniques. The current study aims at a new technology for iris recognition which helps us to identify a human by the iris from various places. This method is more valid and protected when compared with the other biometric technologies. In this biometric, the human characters are used which will not change during the lifetime of that particular individual. The time taken for identification of individual human is very less. Iris recognition uses the uniqueness of the eye and the information is stored in the iris database. The movement of the human individual is recognized by the gait analysis and iris recognition is more liable in the existing biometric systems. The study mainly focuses on the iris preprocessing, edge detection, and feature extraction, finally gait and iris fusion classification techniques in the research area. Without the help of a particular individual, we can use the gait analysis for iris recognition. The security places such as banks, places which are used in elections, military installations and even airport, where more restriction to provide the details of the human use this biometric technology.