Fingerprint Acquisition & Verification on Mobile Devices

Security of data is a vital issue in modern computational devices, where mobile devices make it more sensitive. To ensure the safety of data as well as software systems fingerprint is one of the most authentic features. Mobile devices use light architecture, which imposes a challenge to fingerprint verification techniques. Acquisition of fingerprints in small scanner also implies the difficulties of partial matching algorithms. TIR technique of fingerprint scanning presented in this paper which can be implemented in integrated sensors. In our proposed method, system's robustness also augmented as the authentication is mainly focused on personal use. Minutiae-based fingerprint matching algorithm is improvised which reduced the process interval and enabled the user defined sensitivity level of the system. Fourier domain filtering techniques have made the system more reliable as well as it improved pre-processing efficiency reducing the uncertainty of feature loss and ridge discontinuity. Robustness of the system is tested using FVC-2002 database, also on random personnel specimens. The proposed method can be used for entire hardware system and individual software as well.