Sciweavers

Share
DSN
2007
IEEE

User Discrimination through Structured Writing on PDAs

9 years 23 days ago
User Discrimination through Structured Writing on PDAs
This paper explores whether features of structured writing can serve to discriminate users of handheld devices such as Palm PDAs. Biometric authentication would obviate the need to remember a password or to keep it secret, requiring only that a user’s manner of writing confirm his or her identity. Presumably, a user’s dynamic and invisible writing style would be difficult for an imposter to imitate. We show how handwritten, multi-character strings can serve as personalized, non-secret passwords. A prototype system employing support vector machine classifiers was built to discriminate 52 users in a closed-world scenario. On high-quality data, strings as short as four letters achieved a false-match rate of 0.04%, at a corresponding false non-match rate of 0.64%. Strings of at least 8 to 16 letters in length delivered perfect results—a 0% equal-error rate. Very similar results were obtained upon decreasing the data quality or upon increasing the data quantity.
Rachel R. M. Roberts, Roy A. Maxion, Kevin S. Kill
Added 02 Jun 2010
Updated 02 Jun 2010
Type Conference
Year 2007
Where DSN
Authors Rachel R. M. Roberts, Roy A. Maxion, Kevin S. Killourhy, Fahd Arshad
Comments (0)
books