Title :
Face recognition: a review and comparison of HMM, PCA, ICA and neural networks
Author :
Riaz, Zahid ; Gilgiti, Anf ; Mirza, Sikander M.
Author_Institution :
Pakistan Inst. of Eng. & Appl. Sci., Islamabad, Pakistan
Abstract :
This paper describes the review-based comparison and implementation of face recognition. The implementation results described use principal component analysis (PCA) as a preprocessing step. Different authors have used PCA for reducing the dimensions of data. In this paper we use PCA as a preprocessor of ICA (independent component analysis). The accuracy and efficiency of the system depend upon the situation where the system is to be used.
Keywords :
face recognition; feature extraction; independent component analysis; neural nets; principal component analysis; HMM; ICA; PCA; data dimensions reduction; embedded hidden Markov models; face recognition; hidden Markov models; independent component analysis; neural networks; preprocessing step; principal component analysis; review-based comparison; system accuracy; system efficiency; Discrete cosine transforms; Face detection; Face recognition; Hidden Markov models; Image databases; Independent component analysis; Karhunen-Loeve transforms; Neural networks; Principal component analysis; Probability distribution;
Conference_Titel :
E-Tech 2004
Print_ISBN :
0-7803-8655-8
DOI :
10.1109/ETECH.2004.1353842
