Title :
Performance of MPEG-7 edge histogram descriptor in face recognition using Principal Component Analysis
Author :
Rahman, Shafin ; Naim, Sheikh Motahar ; Al Farooq, Abdullah ; Islam, Md Monirul
Author_Institution :
Dept. of Comput. Sci. & Eng., Bangladesh Univ. of Eng. & Technol.(BUET), Dhaka, Bangladesh
Abstract :
Face recognition is considered as a high dimensionality problem. To handle high dimensionality, a numerous methods have been proposed in literature. In this paper, we propose a novel face recognition method that efficiently solves that problem using MPEG-7 edge histogram descriptor. To the authors´ knowledge, this is the first attempt to use edge histogram descriptor in face recognition. Although MPEG-7 standard represents only local edge histogram we use global and semi-global edge histogram also. We find that local edge histogram mostly helpful for face recognition. We test our system not only using the entire face image as input but also dividing the image into different sub-divisions. PCA is then applied to the edge histogram descriptors of sub-divisions in-stead of raw pixel intensity values of images which traditional methods do. Since we use normalized edge histogram, our face recognition method becomes scale, translation and rotation invariant. Furthermore, our proposed method does not necessarily require all images to be of same resolution as input. We evaluate the proposed method using ORL, Yale and Face94 face databases and achieve superior performance.
Keywords :
edge detection; face recognition; principal component analysis; MPEG-7 edge histogram descriptor; PCA; face recognition; high dimensionality problem; principal component analysis; semiglobal edge histogram; Databases; Face; Face recognition; Histograms; Image edge detection; Principal component analysis; Transform coding; Edge Histogram Descriptor; Image retrieval; MPEG-7; Principal Component Analysis (PCA); Texture Descriptor;
Conference_Titel :
Computer and Information Technology (ICCIT), 2010 13th International Conference on
Conference_Location :
Dhaka
Print_ISBN :
978-1-4244-8496-6
DOI :
10.1109/ICCITECHN.2010.5723904