计算机工程与科学2011，Vol.33Issue(9)：184-188,5.DOI:10.3969/j.issn.1007-130X.2011.09.033
基于简化血流图小波包域DCT系数决策融合的红外人脸识别
Infrared Face Recognition Based on the DCT Coefficient Decision Fusion of the Modified Blood Perfusion Model Wavelet Packet Domain
摘要
Abstract
A novel method is proposed for infrared face recognition in this paper. Firstly, thermal images are converted into modified blood perfusion images by a modified blood perfusion model to obtain consistent facial images without the effect of the ambient variations. Secondly, the modified blood perfusion data are decomposed into a wavelet packet tree using three scales' discrete wave packet transform. Then, proper numbers of nodes with the highest recognization score are further transformed via discrete cosine transform (DCT). The features extracted from the reserved nodes in the DCT domain are used for recognition using the 3-nn classifier in the Euclidean distance to obtain the recognition results. The results are finally fused to output the final recognition results. The experiments conducted illustrate that the proposed method has better performance. While the recognition rate does not decrease based on the modified blood model compared to the blood model obviously and have even lightly improved in some cases, and more efficient features are extracted using the coefficient of DCT in the wavelet packet domain and decision fusion, which can improve the infrared face recognition performance.关键词
红外人脸识别/简化血流图/小波包/离散余弦变换/决策融合Key words
infrared face recognition/ modified blood perfusion model/ wavelet packet (discrete cosine transform/decision fusion分类
信息技术与安全科学引用本文复制引用
谢志华,孙俊杰..基于简化血流图小波包域DCT系数决策融合的红外人脸识别[J].计算机工程与科学,2011,33(9):184-188,5.基金项目
江西省教育厅科技项目(GJJ11225) （GJJ11225）
