Face recognition by using fractal encoding and backpropagation neural network

Author

Temdee, Punnarumol ; Khawparisuth, Dejwoot ; Chamnonglhai, K.

Author_Institution

Fac. of Eng., King Mongkut´´s Inst. of Technol., Bangkok, Thailand

Volume

1

fYear

1999

fDate

1999

Firstpage

159

Abstract

Presents a frontal view face recognition method by using fractal codes which are determined by a fractal encoding method from the edge pattern of the face region which covers eyebrows, eyes and a nose. In recognition process, these fractal codes are fed as inputs to a backpropagation neural network for learning and identifying a person. The experiments were performed with one in-room (ten distinct subjects) and one public database (the ORL face database which has twenty distinct subjects). The recognition rate is 90% for the in-room database and 85% for the ORL face database

Keywords

backpropagation; biometrics (access control); face recognition; fractals; image coding; neural nets; ORL face database; backpropagation neural network; edge pattern; eyebrows; eyes; fractal codes; fractal encoding; frontal view face recognition method; in-room database; nose; public database; Backpropagation; Databases; Encoding; Eyebrows; Eyes; Face detection; Face recognition; Fractals; Neural networks; Nose;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Its Applications, 1999. ISSPA '99. Proceedings of the Fifth International Symposium on

Conference_Location

Brisbane, Qld.

Print_ISBN

1-86435-451-8

Type

conf

DOI

10.1109/ISSPA.1999.818137

Filename

818137