Download Now Free registration required
In large scale applications, hundreds of new subjects may be regularly enrolled in a biometric system. To account for the variations in data distribution caused by these new enrollments, biometric systems require regular re-training which usually results in a very large computational overhead. This paper formally introduces the concept of online learning in biometrics. This paper demonstrates its application in classifier update algorithms to re-train classifier decision boundaries.
- Format: PDF
- Size: 694.7 KB