A new approach to develop biometric fingerprint using human right thumb fingernail

In this article, we analyzed the structure of human nails to develop a modern biometric authentication system based on nail bed and finger lunula. The results studies collected images proved that each fingernail has distinctive characteristics in terms length width lunula, even identical twins. We focused right thumb because its large size accuracy clarity nail. mediation indicative points lunula was used form pentagonal use it as region interest. Then an ensemble independent component analysis, principal haar wavelet, scale invariant feature transformation, were used. Later classified these algorithms using support vector machine Naive Bayes techniques, performance algorithm by extraction with two classifiers. This study conducted 100 participants showed new method could be identification for humans. There no similarity all verified samples.