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Integrated image enhancement method for biometric security

机译:用于生物识别安全的集成图像增强方法

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摘要

Security methods based on biometrics are gaining importance increasingly for the past few years due to several major security disasters that occurred in the last decade. The successful development of biometric security systems cannot only minimise such threats but may also help in preventing them from happening on a global scale. Biometric security methods take into account humans' unique physical or behavioural traits that help to identify them based on their intrinsic characteristics. Such characteristics are usually obscure due to low quality images produced by Surveillance camera. In this paper, we propose an image enhancement method based on contrast enhancement and colour balancing methods in order to improve the quality of the images. We have improved the colour balancing method significantly in order to get better performance. The proposed method has been applied to the enhancement of low quality images produced by surveillance cameras. The performance of the proposed method is evaluated by applying three face detection methods to surveillance images before and after enhancement using the proposed method. The results show a significant improvement in face detection when the proposed method was applied.
机译:由于在过去十年中发生了几个主要的安全灾害,基于生物识别性的安全方法越来越重要。生物识别安全系统的成功开发不能最大限度地减少这种威胁,但也可能有助于防止它们在全球范围内发生。生物识别安全方法考虑了人类独特的物理或行为特征,有助于根据其内在特征识别它们。由于监控摄像机产生的低质量图像,这些特征通常是模糊的。在本文中,我们提出了一种基于对比度增强和颜色平衡方法的图像增强方法,以提高图像的质量。我们已经显着提高了色彩平衡方法,以便获得更好的性能。所提出的方法已经应用于监控摄像机产生的低质量图像的增强。通过使用所提出的方法在增强之前和之后的监视图像来评估所提出的方法的性能。当施加所提出的方法时,结果表明面部检测的显着改善。

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