Title :
Face recognition based on Detail Histogram Intersection kernel
Author :
Qiang-rong, Jiang ; Yuan, Gao
Author_Institution :
Coll. of Comput. Sci. & Technol., BJUT, Beijing, China
Abstract :
Histogram intersection (HI) kernel has been introduced for image recognition tasks. The HI kernel is proved to be positive definite and thus can be used in support vector machine (SVM) based recognition. In this paper, profile histogram intersection (PHI) kernels and detail histogram intersection (DHI) kernels function are proposed which based on traditional histogram intersection kernels. In experiments on classification of face images, our DHI kernel shows higher classification accuracy than HI kernels.
Keywords :
face recognition; feature extraction; image classification; support vector machines; detail histogram intersection kernel; face image classification; face recognition; feature extraction; image recognition tasks; profile histogram intersection kernels; support vector machine; Computer science; Educational institutions; Face recognition; Feature extraction; Histograms; Image recognition; Kernel; Support vector machine classification; Support vector machines; Testing; face recognition; feature extraction; histogram intersection kernel; image histogram; support vector machines;
Conference_Titel :
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-4754-1
Electronic_ISBN :
978-1-4244-4738-1
DOI :
10.1109/ICICISYS.2009.5357743
