Approximate nearest neighbor search using self-organizing map clustering for face recognition system

Abstract

This paper presents face recognition system that is based on Self-Organizing Map (SOM) clustering. In order to reduce the time consumption in nearest neighbor search, SOM clustering scheme is used to group the training data and determine prototypes of each group. Local feature selection process is employed to reduce dimension of data in each group. To show… (More)

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