Patent attributes
Various examples are provided for distortion rectification and fingerprint crossmatching. In one example, a method includes selecting an electronic, perspective distorted fingerprint sample; and generating an unwarped fingerprint sample by rectifying perspective distortions from the perspective distorted fingerprint sample by application of an unwarping transformation. Parameters of the unwarping transformation can be determined by a deep convolutional neural network (DCNN) trained on a database comprising contactless fingerprint samples suffering from perspective distortions. In another example, a system comprises processing circuitry that can: identify warp parameters associated with a contactless fingerprint sample, the warp parameters estimated from the contactless fingerprint sample by a DCNN trained on a database comprising contactless fingerprint samples suffering from perspective distortions; and generate an unwarped fingerprint sample from the contactless fingerprint sample, the unwarped fingerprint sample generated using an unwarping transformation based upon the identified warp parameters.
