Face recognition with quantum associative networks using overcomplete gabor wavelet

Document Type

Article

Publication Date

1-1-2010

Abstract

Gabor wavelet is considered the best mathematical descriptor for receptive fields in the striate cortex. Besides, as a basis function, it is suitable to sparsely represent natural scenes due to its property in maximizing information. It is argued that Gabor-like receptive fields are emerged by sparseness-enforcing or infomax method. In this paper, we incorporate Gabor overcomplete representation into quantum holography for image recognition tasks, with suggestions in improvements through iterative method for reconstruction.

Keywords

Computer science, artificial intelligence, gabor wavelet, striate cortex, image recognition, face recognition

Publication Title

Cognitive Computation

ISSN

1866-9956

Divisions

ai

Volume

2

Issue

4

Additional Information

Tay, Nuo Wi Loo, Chu Kiong Perus, Mitja Si

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