Title :
Illumination invariant face recognition for frontal faces using modified census transform
Author :
Bhavani, Sridharan ; Thawani, Amit ; Sridhar, V. ; Ramakrishnan, K.R.
Author_Institution :
Satyam Comput. Services Ltd., Hyderabad
fDate :
Oct. 30 2007-Nov. 2 2007
Abstract :
In this paper, a face recognition technique has been proposed by obtaining an illumination invariant representation of the frontal face using the modified census transform and applying the eigen faces approach on the resulting images. An improvement in recognition rate has been observed based on the experiments performed on the frontal face images in the Yale B, CMU PIE and the Weizmann face databases. The eigen faces technique has been used as the baseline algorithm in order to compare the recognition results obtained.
Keywords :
eigenvalues and eigenfunctions; face recognition; image representation; CMU PIE face databases; Weizmann face databases; Yale B face database; baseline algorithm; eigen faces approach; eigen faces technique; frontal face recognition technique; illumination invariant face recognition technique; illumination invariant representation; modified census transform; Face recognition; Floors; Hidden Markov models; Image databases; Image recognition; Image restoration; Light sources; Lighting; Principal component analysis; Spatial databases;
Conference_Titel :
TENCON 2007 - 2007 IEEE Region 10 Conference
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-1272-3
Electronic_ISBN :
978-1-4244-1272-3
DOI :
10.1109/TENCON.2007.4429014
