"personal authentication" is correct and usable in written English.
It means to verify the identity of a person (such as through a username and password). For example, "We must practice personal authentication to ensure access to our computers is secure."
In this work, a new approach for personal authentication using palm image is presented.
Finally, the C2Code feature map is fed into a nearest neighbor (NN) classifier to carry out personal authentication.
With the advent of modern computing technology, there is increased reliance on biometrics to provide stronger personal authentication.
To overcome these drawbacks, we develop a new data acquisition scheme as well as an efficient personal authentication algorithm.
In this paper, hand dorsal images acquired under infrared light are used to design an accurate personal authentication system.
On the other hand, demand of non-visible, especially near-infrared (NIR) sensitive image sensors for security, personal authentication, and range finding applications has been growing.
These systems are used for the personal and authentication analysis of an individual and form one of the main subjects of this publication.
Multimodal personal identity authentication systems have gained popularity. Hyperspectral imaging systems capture both spectral and spatial information.
Face recognition has been studied for many years for human identification and personal identity authentication and is increasingly used for its convenience and noncontact measurements.
This is a concern for automatic personal identity authentication since intruders can use artificial materials or objects to gain unauthorized access.
To improve system accuracy, there is strong interest in research to combine multiple biometric characteristics for multimodal personal identity authentication [19, 20].
