A biometric system provides an automatic person authentication based on some characteristic features possessed by the individual. Among all other biometrics, the retinal biometric system is unique as well as stable. The retina is a secure and reliable source of person recognition as it lies behind the eye and is unforgeable. The process of recognition mainly includes pre-processing, feature extraction and then features matching. The features generally used in this process are either blood vessel features or non-blood vessel features. In this paper, different methods available in the literature for retina based person authentication system are described, discussed and compared.
CITATION STYLE
Mary, G. A. (2018). IDENTIFICATION OF HOTSPOTS IN PROTEIN SEQUENCES USING CPNR AND DWT. International Journal of Advanced Research in Computer Science, 9(3), 219–223. https://doi.org/10.26483/ijarcs.v9i3.6108
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