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Date of Publication:2010-01-01

Journal:计算机工程

Issue:8

Page Number:180-182

ISSN No.:1000-3428

Abstract:According to the information complementarity for visible image and infrared image, this paper analyzes normalization method and fusion algorithm for fusion recognition at decision level, proposes a Fisher projection fusion algorithm based on statistics. This algorithm employs Fisher linear discriminate criterion to find out the optimal projection in score space that can best separate projected samples from different classes. Application of multi-spectral face fusion recognition results show that this algorithm has higher recognition effect compared with other fusion algorithm.

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