DocumentCode :
3263506
Title :
Face recognition with small and large size databases
Author :
Roure, Josep ; Faundez-Zanuy, Marcos
Author_Institution :
Escola Universitaria Politecnica de Mataro, Spain
fYear :
2005
fDate :
11-14 Oct. 2005
Firstpage :
153
Lastpage :
156
Abstract :
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.
Keywords :
authorisation; discrete cosine transforms; face recognition; feature extraction; visual databases; FERET database; ORL database; discrete cosine transform; face recognition; feature extraction; large size database; small size database; user authorization; Discrete cosine transforms; Error analysis; Face detection; Face recognition; Feature extraction; Glass; Image databases; Personal digital assistants; Spatial databases; Testing; Discrete Cosine Transform; Face image; feature extraction; verification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Security Technology, 2005. CCST '05. 39th Annual 2005 International Carnahan Conference on
Print_ISBN :
0-7803-9245-0
Type :
conf
DOI :
10.1109/CCST.2005.1594843
Filename :
1594843
Link To Document :
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