谢志华.DCT结合特征选择的红外人脸识别[J].计算机科学与探索，2014，8（5）：614-621.
DCT结合特征选择的红外人脸识别
*
谢志华
+
江西科技师范大学 光电子与通信重点实验室，南昌 330013
Infrared Face Recognition Combining DCT and Features Selection
XIE Zhihua
+
Key Lab of Optic-Electronic and Communication, Jiangxi Sciences and Technology Normal University, Nanchang
330013, China
+ Corresponding author: E-mail: xie_zhihua68@aliyun.com
XIE Zhihua. Infrared face recognition combining DCT and features selection. Journal of Frontiers of Com-
puter Science and Technology, 2014, 8(5)：614-621.
Abstract: To get the good performance of infrared face recognition from the biological feature and statistical character,
this paper proposes a novel method for infrared face recognition based on blood perfusion image by combining discrete
cosine transform (DCT) and features selection. Firstly, infrared thermal images are converted into blood perfusion
domain by blood perfusion model to get the constant information. Secondly, DCT is chosen to reduce the correlation
in original face image. Finally, to improve the effectiveness of features extraction in DCT domain, the objectives of
features selection and subspace learning are consistent (both follow the separability discriminant criterion): a feature
selection algorithm is proposed to extract the DCT coefficients, LDA (linear discriminant analysis) is applied to
DCT coefficients extracted by the feature selection algorithm. The experimental results illustrate that the proposed
method can quickly and efficiently extract the features of blood perfusion domain for classification, and get better
recognition performance than traditional DCT+LDA method.
Key words: infrared face recognition; blood perfusion image; discrete cosine transform (DCT); separability; linear
discriminant analysis (LDA)
* The National Natural Science Foundation of China under Grant No. 61201456 (国家自然科学基金); the Natural Science Foundation
of Jiangxi Province of China under Grant No. 20132BAB201052 (江西省自然科学基金).
Received 2013-05, Accepted 2013-07.
CNKI网络优先出版：2013-09-26, http://www.cnki.net/kcms/detail/11.5602.TP.20130926.1134.002.html
ISSN 1673-9418 CODEN JKYTA8
Journal of Frontiers of Computer Science and Technology
1673-9418/2014/08(05)-0614-08
doi: 10.3778/j.issn.1673-9418.1306018
E-mail: fcst@vip.163.com
http://www.ceaj.org
Tel: +86-10-89056056
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