High quality face recognition in JPEG compressed images

Author

Eickeler, Stefan ; Muller, Stefan ; Rigoll, Gerhard

Author_Institution

Dept. of Comput. Sci., Gerhard-Mercator-Univ. Duisburg, Germany

Volume

1

fYear

1999

fDate

6/21/1905 12:00:00 AM

Firstpage

672

Abstract

This paper presents an advanced face recognition system that is based on the use of Pseudo 2-D HMMs and coefficients of the 2-D DCT as features. A major advantage of our approach is the fact that our face recognition system works directly with JPEG-compressed face images, i.e. it uses directly the DCT-features provided by the JPEG standard, without any necessity of completely decompressing the image before recognition. The recognition rates on the Olivetti Research Laboratory (ORL) face database are 100% for the original images and 99.5% for JPEG compressed domain recognition. A comparison with other face recognition systems evaluated on the ORL database, shows that these are the best recognition results on this database

Keywords

data compression; face recognition; 2-D DCT; JPEG compressed images; Pseudo 2-D HMMs; face images; face recognition; Decoding; Discrete cosine transforms; Face recognition; Feature extraction; Hidden Markov models; Image coding; Image databases; Image recognition; Transform coding; Viterbi algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on

Conference_Location

Kobe

Print_ISBN

0-7803-5467-2

Type

conf

DOI

10.1109/ICIP.1999.821721

Filename

821721