条件生成对抗网络的手写签名欺骗

Md Fazle Rabby, Md Abdullah Al Momin, X. Hei
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引用次数: 0

摘要

生成对抗网络一直是计算机视觉领域中备受关注的研究课题,特别是在图像合成和图像到图像翻译方面。生成网络有很多变化,不同的gan适用于不同的应用。在本章中,作者研究了条件生成对抗网络来生成假图像,如手写签名。作者展示了条件生成对抗网络的实现,该网络可以根据人类定制的条件向量生成假手写签名。
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Handwritten Signature Spoofing With Conditional Generative Adversarial Nets
Generative adversarial networks have been a highly focused research topic in computer vision, especially in image synthesis and image-to-image translation. There are a lot of variations in generative nets, and different GANs are suitable for different applications. In this chapter, the authors investigated conditional generative adversarial networks to generate fake images, such as handwritten signatures. The authors demonstrated an implementation of conditional generative adversarial networks, which can generate fake handwritten signatures according to a condition vector tailored by humans.
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