Face recognition with quantum associative networks using overcomplete gabor wavelet

Tay, N.W. and Loo, C.K. and Perus, M. (2010) Face recognition with quantum associative networks using overcomplete gabor wavelet. Cognitive Computation, 2 (4). pp. 297-302. ISSN 1866-9956,

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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.

Item Type: Article
Funders: UNSPECIFIED
Additional Information: Tay, Nuo Wi Loo, Chu Kiong Perus, Mitja Si
Uncontrolled Keywords: Computer science; artificial intelligence; gabor wavelet; striate cortex; image recognition; face recognition
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Computer Science & Information Technology > Department of Artificial Intelligence
Depositing User: Miss Nur Jannatul Adnin Ahmad Shafawi
Date Deposited: 21 Mar 2013 01:59
Last Modified: 21 Mar 2013 01:59
URI: http://eprints.um.edu.my/id/eprint/5192

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