Face recognition using artificial neural network group-based adaptive tolerance (GAT) trees.

Face recognition using artificial neural network group-based adaptive tolerance (GAT) trees. Research Abstract Details 

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Face recognition using artificial neural network group-based adaptive tolerance (GAT) trees. Abstract Text:

M Zhang,J Fulcher,

Recent artificial neural network research has focused on simple models, but such models have not been very successful in describing complex systems (such as face recognition). This paper introduces the artificial neural network group-based adaptive tolerance (GAT) tree model for translation-invariant face recognition, suitable for use in an airport security system. GAT trees use a two-stage divide-and-conquer tree-type approach. The first stage determines general properties of the input, such as whether the facial image contains glasses or a beard. The second stage identifies the individual. Face perception classification, detection of front faces with glasses and/or beards, and face recognition results using GAT trees under laboratory conditions are presented. We conclude that the neural network group-based model offers significant improvement over conventional neural network trees for this task.

Face recognition using artificial neural network group-based adaptive tolerance (GAT) trees. Publishing Authors By Initials

M Zhang,J Fulcher,

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Face recognition using artificial neural network group-based adaptive tolerance (GAT) trees. Journal Published:

PUBLICATION TYPE: Journal Article

Journal: IEEE transactions on neural networks / a publicati

VOLUME: 7

Page Numbers: 555-67

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ISSN: 1045-9227

DAY: 11

MONTH: 02

YEAR: 1996

Face recognition using artificial neural network group-based adaptive tolerance (GAT) trees. Information

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LANGUAGE: eng

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Grant and Affiliation Information for Face recognition using artificial neural network group-based adaptive tolerance (GAT) trees.

AFFILIATION: Dept. of Comput. and Inf. Syst, Univ. of Western Sydney, NSW.

Country: United States

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MEDLINETA: IEEE Trans Neural Netw

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