ADVERSARIAL NETWORK-BASED FINGERPRINT MODEL GENERATION METHOD AND RELATED APPARATUS

摘要

An adversarial network-based fingerprint model generation method and apparatus, a computer device, and a storage medium. The adversarial network-based fingerprint model generation method comprises: inputting a fingerprint sample image into a first machine learning sub-model, and outputting, by the first machine learning sub-model, a fingerprint simulated image (S121); inputting the fingerprint simulated image into a second machine learning sub-model, and outputting, by the second machine learning sub-model, a determining result concerning whether it is a fingerprint simulated image, such that the first machine learning sub-model adjusts parameters according to the determination result and then the fingerprint simulated image output by the first machine learning sub-model is more similar to the finger sample image (S122); and if the recognition rate of the second machine learning sub-model reaches a predetermined recognition threshold, outputting the fingerprint simulated image as a fingerprint model (S124). A fingerprint model having high similarity to real fingerprints can be synthesized in the case of lacking a fingerprint database.