This paper analyzes cybersecurity risks in mobile contactless fingerprint acquisition and proposes a two-phase processing and evaluation pipeline. The method estimates fingerprint resolution (DPI) using reference objects and applies preprocessing and normalization for reliable matching. Security threats, including presentation attacks using fingerprint presentation attack instruments, are analyzed according to ISO/IEC standards. Experimental results show that DPI normalization improves matching performance, achieving zero FAR and FRR in the evaluated dataset. The approach provides a basis for secure processing and future integration of presentation attack detection mechanisms in mobile biometric systems.