A transform domain face recognition approach

Author

Kohir, Vinayadatt V. ; Desai, U.B.

Author_Institution

P.D.A Coll. of Eng., Gulbarga, India

Volume

1

fYear

1999

fDate

1999

Firstpage

104

Abstract

The paper combines DCT (discrete cosine transform) and HMM (hidden Markov model) to realise a face recognition technique. The face images are subsampled to obtain a sequence of face sub-images. Each sub-image is DCT transformed and the coefficients are scanned (similar to the JPEG image compression method) to form a vector. These vectors are applied to HMMs for recognition. Two different face databases-ORL and SPANN are used. The recognition rate for ORL is 99.5% with 5 training and 5 testing images per subject. The SPANN database has a recognition rate of 98.75% with 3 training images and 4 test images per subject

Keywords

discrete cosine transforms; face recognition; hidden Markov models; image sampling; image sequences; DCT; HMM; ORL database; SPANN database; discrete cosine transform; face databases; face recognition; face sub-images; hidden Markov model; image sequence; subsampled images; training images; Discrete cosine transforms; Discrete transforms; Face recognition; Hidden Markov models; Image coding; Image databases; Image recognition; Spatial databases; Testing; Transform coding;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON 99. Proceedings of the IEEE Region 10 Conference

Conference_Location

Cheju Island

Print_ISBN

0-7803-5739-6

Type

conf

DOI

10.1109/TENCON.1999.818360

Filename

818360