As one of the most established biometric modalities, fingerprint recognition plays a crucial role in personal authentication and security systems, with fingerprints captured through contact-based or contactless acquisition. However, contactless fingerprint data remains relatively scarce compared to contact-based data, posing challenges for both intra-domain and cross-domain matching. To address these issues, we propose a contact-to-contactless fingerprint generation approach, which integrates a GAN-based fingerprint transfer module with a Unified Fingerprint Enhancement (UFE) module to maintain content consistency and preserve identity information. Extensive experiments on the NIST SD14 database, including both quantitative and qualitative evaluations, demonstrate the effectiveness of the proposed method.