Title :
An improved face recognition algorithm based on SVD
Author :
Cao, Danyang ; Yang, Bingru
Author_Institution :
Coll. of Inf. Eng., North China Univ. of Technol., Beijing, China
Abstract :
This paper presents an improved face recognition algorithm based on SVD. The algorithm uses a sampling window to sample overlapping from top to bottom. According to all the matrices obtained by overlapping sampling, we count the singular values for all the matrices, reduce dimension and compression, and get k maximal singular values of every matrix that are formed a group of vectors. The group of vectors is acted as the features of the image to recognize. Experiments show that the recognition rate of the improved algorithm is higher.
Keywords :
face recognition; matrix algebra; singular value decomposition; SVD; face recognition algorithm; matrix; maximal singular values; Authentication; Biometrics; Educational institutions; Face recognition; Humans; Image coding; Image recognition; Image sampling; Matrix decomposition; Singular value decomposition; HMM; SVD; face recognition;
Conference_Titel :
Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-5585-0
Electronic_ISBN :
978-1-4244-5586-7
DOI :
10.1109/ICCAE.2010.5452051
