Face recognition with small and large size databases

被引：2

作者：

Roure, J

Faundez-Zanuy, M

机构：

来源：

39TH ANNUAL 2005 INTERNATIONAL CARNAHAN CONFERENCE ON SECURITY TECHNOLOGY, PROCEEDINGS | 2005年

关键词：

face image; Discrete Cosine Transform; verification; feature extraction;

D O I：

10.1109/CCST.2005.1594843

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This Paper will present 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.

引用

页码：153 / 156

页数：4

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