文章基本信息

标题：Face Recognition in Online Using Image Processing
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作者：U.L.Sindhu ; A.Asha ; S.Suganya 等
期刊名称：International Journal of Communication and Computer Technologies
印刷版ISSN：2278-9723
出版年度：2014
卷号：2
期号：2
出版社：IJCCTS
摘要：To ensure the actual presence of a real legitimate trait in contrast to a fake self-manufactured synthetic or reconstructed sample is a significant problem in biometric authentication, which requires the development of new and efficient protection measures. In this paper, we present a novel software-based fake detection method that can be used in multiple biometric systems to detect different types of fraudulent access attempts. The objective of the proposed system is to enhance the security of biometric recognition frameworks, by adding livens assessment in a fast, user-friendly, and non-intrusive manner, through the use of image quality assessment. The proposed approach presents a very low degree of complexity, which makesit suitable for real-time applications, using 25 general imagequality features extracted from one image (i.e., the same acquired for authentication purposes) to distinguish between legitimate and impostor samples. The experimental results, obtained on publicly available data sets of fingerprint, iris, and 2D face, show that the proposed method is highly competitive compared with other state-of-the-art approaches and that the analysis of the general image quality of real biometric samples reveals highly valuable information that may be very efficiently used to discriminate them from fake traits
关键词：Image quality assessment; biometrics; security; attacks; and countermeasures