अमूर्त

STUDY AND ANALYSIS OF INDIGENOUS RISK IMPACT SCREEN (IRIS) IN ALCOHOL PRESENCE USING TEXTURAL FEATURES

Yashasvi Jaiswal, Somesh Kumar Dewangan

Biometrics is the science of establishing the individual’s identity based on its physical and behavioral features. Many features can be used as a biometric trait like, fingerprint, gait, hand, palm, iris, face, signature and so on, but With the cost of eye-scanning technology coming down and the need for more secure systems going up, it’s time to take a close look at iris recognition. The iris of every individual is unique and remains unchanged with time. The study of effect of alcohol on the iris is a challenging task. The pupil of the eyes gives noticeable change in the presence of alcohol. There were very few literatures found in this field, though many researches had been done over iris recognition but the study over alcoholic eyes is limited to few numbers. The present work deals with the study of psychometric features of iris as a screening instrument for determining the presence of alcohol. this paper uses the textural features of an eye image for analysis of alcoholic eyes and it is found that textural features gives appropriate results. The algorithm used is the textural based property algorithm. The output of the work will give the differentiation between an alcoholic and non- alcoholic subject and thus protecting a secure organization from various threats.