Title :
A comparative study of various face recognition algorithms (feature based, eigen based, line based, neural network approaches)
Author :
Singh, S.K. ; Vatsa, Mayank ; Richa Singh ; Shukla, K.K.
Author_Institution :
Dept. of Comput. Sci. & Eng., Purvanchal Univ., Jaunpur
Abstract :
As continual research is being conducted in the area of computer vision, one of the most practical applications under vigorous development is in the construction of a robust real-time face recognition system. While the problem of recognizing faces under gross variations remains largely unsolved, a demonstration system as proof of concept that such systems are now becoming practical have been developed. A system capable of reliable recognition, with reduced constraints in regards to the position and orientation of the face and the illumination and background of the image has been implemented. In this paper an attempt is made to compare existing face recognition algorithms which are widely used and subject of interest
Keywords :
computer vision; face recognition; feature extraction; neural nets; real-time systems; computer vision; eigen based approach; face recognition algorithm; feature based approach; line based approach; neural network approach; robust real-time face recognition system; Computer vision; Face detection; Face recognition; Head; Humans; Image databases; Lighting; Neural networks; Principal component analysis; Spatial databases; Eigen Face; Face Recognition; Feature Based Approach; Line Based Approach; Principal Component Analysis;
Conference_Titel :
Computer Architectures for Machine Perception, 2003 IEEE International Workshop on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-7803-7970-5
DOI :
10.1109/CAMP.2003.1598161
