This work expands on previous advancements in genetic fingerprint spoofing via the DeepMasterPrints and introduces Diversity and Novelty MasterPrints. This system uses quality diversity evolutionary algorithms to generate dictionaries of artificial prints with a focus on increasing coverage of users from the dataset. The Diversity MasterPrints focus on generating solution prints that match with users not covered by previously found prints, and the Novelty MasterPrints explicitly search for prints with more that are farther in user space than previous prints. Our multi-print search methodologies outperform the singular DeepMasterPrints in both coverage and generalization while maintaining quality of the fingerprint image output.

翻译：这项工作扩展了以前通过DeepMasterPrints在基因指纹涂鸦方面取得的进步,并引入了多样性和新颖主画。这个系统使用高质量的多样性演化算法生成人工指纹词典,重点是增加数据集用户的覆盖面。“多样性主画”侧重于生成与先前发现的指纹未覆盖的用户相匹配的解决方案指纹,新书主画家则明确搜索在用户空间中比以往更远的指纹。我们的多指纹搜索方法在覆盖面和普遍性两方面都超越了奇特的DeepMasterPrints,同时保持了指纹图像输出的质量。