Amalgamation of Fingerprint with Audio Wave Using Binary Phase Shift Keying Technique To Indagate Change

Abstract

Biometric modalities have been explored in recent times with great scope of use. This is due to the various challenges encountered with the failure to identify individuals and their departmental changes that they may exhibit. In-order to counter and account for such changes, the biometric modalities are usually registered and compared to their respective matches in the database. There have been various algorithmic methods that have evolved in order to identify the change in the modalities. However, the previous work of study incorporated the commingling of various biometric modalities such as the fingerprint, face, iris, voice and signature. Nonetheless, the proposed indagation focuses on combining the fingerprint biometric modality to that of an audio wave using binary phase shift keying method. This is a unique approach which aids in identifying the pixel transformation through the shift in the bits of the chosen image, and also evinces a digital modulation in the entailed audio wave. The binary shift keying method has been elaborated with other approaches such as voice and signal processing techniques, but this paper focusses on identifying the behavioral change in the pixel bits from the original image to the binary image through the original and modified audio waves. The simulation has been implemented in MATLAB and the outcome has been successfully procured.