random projections for biometrics security

2 次查看（过去 30 天）

Noha 2020-6-13

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/547785-random-projections-for-biometrics-security

评论： KALYAN ACHARJYA 2020-6-14

I read the following in one of the research papers: Cancelable biometrics using random projections can be implemented by multiplying a random matrix with a feature vector. The result is a cancelable biometric template. y = M multiplied by x where y, M and x refer to the cancelable feature vector, Gaussian random projection matrix, and the feature vector extracted from the image, respectively. My question is: I think this is the same concept as compressive sensing, right? if yes, I know that compressive sensing is not a one-way transformation, I mean that the original image can be reconstructed from the compressed image. On the other hand, the cancelable technique must be a one-way transformation. Then, how can we say that the random projection explained by the above equation is a cancelable technique? Also, I need to know how can we know if the transformation one-way (the inverse operation is allowed) or not?

Thanks