Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: User authentication using simple gestures is now common in portable devices. In this work, authentication with free-form sketches is studied. Verification systems using dynamic time warping and Gaussian mixture models are proposed, based on dynamic signature verification approaches. The most discriminant features are studied using the sequential forward floating selection algorithm. The effects of the time lapse beten capture sessions and the impact of the training set size are also studied. Development and validation experiments are performed using the DooDB database, which contains passwords from 100 users captured on a smartphone touchscreen. Equal error rates beten 3% and 8% are obtained against random forgeries and beten 21% and 22% against skilled forgeries. High variability beten capture sessions increases the error rates.
['Marcos Martinez-Diaz', 'Julian Fierrez', 'Javier Galbally']
I am writing a research paper on a idea Graphical Password-Based User Authentication With Free-Form Doodles
[{"from": "human", "value": "I am writing a research paper on a idea Graphical Password-Based User Authentication With Free-Form Doodles"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: User authentication using simple gestures is now common in portable devices. In this work, authentication with free-form sketches is studied. Verification systems using dynamic time warping and Gaussian mixture models are proposed, based on dynamic signature verification approaches. The most discriminant features are studied using the sequential forward floating selection algorithm. The effects of the time lapse beten capture sessions and the impact of the training set size are also studied. Development and validation experiments are performed using the DooDB database, which contains passwords from 100 users captured on a smartphone touchscreen. Equal error rates beten 3% and 8% are obtained against random forgeries and beten 21% and 22% against skilled forgeries. High variability beten capture sessions increases the error rates."}]