Face recognition with small and large size databases
This is incremental, applying existing methods to new data for face recognition in different user-scale scenarios.
The paper tackles face recognition for both small-scale (e.g., PDA/PC security) and large-scale (e.g., around a thousand users) applications, presenting experimental results using the ORL (40 people) and FERET (994 people) databases.
This paper presents experimental results using the ORL (40 people) and FERET (994 people) databases. The ORL database can be useful for securing applications where few users attempting to access are expected. This is the case, for instance, of a PDA or PC where the password is the face of the user. On the other hand, the FERET database is useful for studying those situations where the number of authorized users is around a thousand people.