Multimodal Face Recognition Based on Images Fusion
A multimodal face recognition technology based on visual and infrared images fusion is introduced,and fusion methods on pixel level and feature level are discussed.On pixel level,image fusion based on wavelet decomposition is used to effectively combine pixels of visual and infrared images to form new images.On feature level,a new feature extraction method is proposed by ranking and extracting top 50% of feature vectors.The recognition experiment shows that correct recognition rate(CRR) is improved by using pixel fusion and feature fusion,compared with that using single type images.Further more,the feature fusion of images is obviously superior to the pixel fusion.In conclusion,multimodal face recognition based on image fusion combines information from images of two types,and become to effective method for increasing CRR.
OBJECTIVE ::: To establish a new method to discriminate Aaron's beard by Fourier transformation infrared spectrometry. ::: ::: ::: METHODS ::: Attenuation Reflection-Fourier transformation infrared spectrometry with clustering analysis was used to the identification of Aaron's beard. ::: ::: ::: RESULTS ::: There were obvious differences in Aaron's beard. The results are consistent with that of morphologic study. ::: ::: ::: CONCLUSION ::: This method is rapid, simple and economical, and can be used to the quality control.