Biometric Key Generation Using Pseudo-Signatures

Recent work has shown that biometric key genera- tion using handwriting as input are susceptible to attacks based on generative models and population statistics. In this paper, we propose an approach for overcoming these vulnerabilities through the use of idiosyncratic "pseudo- signatures." We summarize the past work that led us to this notion, and describe a novel graphical user interface we have developed to test our theory by making it easier for users to create good graphical passwords. A discus- sion of preliminary results from ongoing experiments con- cludes the paper.