In this paper Fractional Wavelet Transform (FrWT) is chosen for fingerprint authentication. It is a new family of wavelet transform that is based on well defined scaling functions, the Fractional B-splines. Fractional wavelet transforms perform better than other wavelets due to their superiority of more energy compactation in approximation coefficients. This paper also presents simulation results of filter banks of FrWT and reveals the suitability and superiority of this transform for fingerprint authentication. Experimental results using Block Based Approach demonstrates the efficiency of the proposed algorithm in fingerprint authentication. Parameters like Energy, SSIM, UIQI, FAR and FRR are measured. It is observed that the proposed method outperforms some of the other existing algorithms with respect to above parameters. © 2006-2015 Asian Research Publishing Network (ARPN).