The increasing demand for hygienic and portable biometric systems has underscored the need for advances in contactless fingerprint recognition. Contactless acquisition introduces challenges such as focus variation, reduced ridge-valley contrast, finger-position variation, and perspective distortion. Ridgeformer is a multi-stage transformer-based approach that captures global spatial features and refines localized feature alignment across fingerprint samples for fine-grained cross-domain contactless fingerprint recognition.