Fractional dual tree complex wavelet transform and its application to biometric security during communication and transmission

In this paper, the dual tree complex wavelet transform, which is an important tool and recent advancement in signal and image processing, has been generalized by coalescing dual tree complex wavelet transform and fractional Fourier transform. The new transform, i.e. the fractional dual tree complex wavelet transform (FrDT-CWT) inherits the excellent mathematical properties of dual tree complex wavelet transform and fractional Fourier transform. Possible applications of the proposed transform are in biometrics, image compression, image transmission, transient signal processing etc. In this paper, biometric is chosen as the primary application and hence a new technique is proposed for securing biometrics during communication and transmission over insecure channel.

Research highlights
► The dual tree CWT is generalized to the fractional dual tree CWT (Fr-DTCWT).
► An efficient implementation of Fr-DTCWT is also proposed for computer simulations.
► In order to show its strength, biometric security is chosen as primary application.
► Hence, a new technique is proposed for securing biometrics over an insecure channel.