The challenges faced in the digital world are many, which could be resolved with some biometric recognition methods. These biometric recognition methods are encompassed within watermarking technology, steganography, cryptography, and many other schemes of security. These methods assist in securing digital images with the authentication of their owner. This paper briefly contextualizes the digital watermarking technique, which is referred to as Natural Preserving Transform (NPT) and Hartley Transform, which is endeavored in the face recognition process. The non-blind extraction and quasi-blind extraction techniques are used for extracting the watermark from the image in the proposed system. This paper articulates the application of this watermarking technique employed in face recognition through watermarking of various face images to multiple backgrounds encompassing gray-scale images. Natural Preserve Transform is employed as a part of the fuzzy logic watermarking. In the proposed system, NPT is employed for encoding a logo of grayscale watermarking text or logo image to a host image located anywhere. The robustness and performance of the proposed system are experimentally tested with the help of image processing operations like image compression, noise degradation, cropping. Due to its unique feature of uniform distribution of face images, this technique is selected among other methods in digital watermarking. The system is tested for its efficiency with experimental analyses, which could be confirmed with the results of the simulation. The above system is proposed for copyright protection, authentication, and security requirements.

翻译：数字世界面临的挑战很多,可以通过生物鉴别识别方法加以解决。这些生物鉴别识别方法包含在水标记技术、摄像学、密码学和其他许多安全办法中。这些方法有助于通过认证拥有者来获取数字图像。本文简要介绍了数字水标记技术的背景,即自然保护变换(NPT)和哈特利变换(在面部识别过程中努力将灰度水标记文本或标志图像与位于任何地方的宿主图像进行编码。拟议系统的坚固性和性能经过实验测试,有助于图像处理操作,例如图像压缩、噪音退化、作物制作。自然保护变换(自然保护变换)是模糊逻辑水标记技术的一部分。在拟议系统中,将灰度水标记文本或标志图像与位于任何地方的宿主图像进行编码。在图像压缩、噪声退化、作物制作等多种背景的表面识别中应用这种水标记技术。自然保护变换(自然保护)自然保护变换(自然保护)作为模糊逻辑水标记法的一部分。在模拟系统中,通过对图像压缩、噪音降解等图像系统进行独特的模拟分析,可以对其安全性结果进行独特的分析。