文章基本信息

标题：Synthetic or Reconstructed Biometric Sample Detection for Real-Time Systems:Application to Face Recognition
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作者：Preeti R Dubey ; Manikamma
期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2015
卷号：4
期号：5
页码：1897-1902
出版社：Shri Pannalal Research Institute of Technolgy
摘要：This paper covers, a novel scheme of software-based fake detection method that can be used in multiple biometric system to detect different types of fraudulent access attempts. To ensure the actual presence of real legitimate trait in contrast to a fake self-manufactured synthetic sample is a significant problem in biometric authentication, w hich requires the development of new protection measures. The objective of this method is to enhance the security of biometric recognition system by adding liveness assessment in a fast, user friendly, and non intrusive manner, through the use of image quality assessment. This method presents a very low degree of complexity, which makes it suitable for real-time applications, using 25 general image quality features extracted from one image to distinguish between legitimate and imposter samples.
关键词：Image quality assessment; biometric; security; ; attacks; countermeasures