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@article{143491,
        author = {Snehal Gaikwad and Dr. D V Jadhav},
        title = {IRIS RECOGNITION SYSTEM AND COMPARISON OF FEATURE EXTRACTION METHODS },
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {2},
        number = {11},
        pages = {331-335},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=143491},
        abstract = {Biometric is the study of physical traits or behavioral characteristics of human beings. Among the biometrics, iris has highly accurate, reliable characteristics and remains stable over a person life. Iris recognition is the most reliable and accurate biometric security system. There are three modules in it-preprocessing, feature extraction, and Feature matching. This paper compares GLCM and Wavelet Transform to reduce FAR and improve accuracy.},
        keywords = {Biometrics, GLCM, kNN classifier, Wavelet Transform.},
        month = {},
        }