Title :
Face recognition using neural networks
Author :
Jamil, Nazish ; lqbal, S. ; Iqbal, Naveela
Author_Institution :
Fatima Jinnah Women Univ., Rawalpindi, Pakistan
Abstract :
In this paper we depict an experiment to the face recognition problem by combining eigenfaces and neural network. Eigenfaces are applied to extract the relevant information in a face image, which are important for identification. Using this we can represent face pictures with several coefficients (about twenty) instead of having to use the whole picture. Neural networks are used to recognize the face through learning correct classification of the coefficients calculated by the eigenface algorithm. The network is first trained on the pictures from the face database, and then it is used to identify the face pictures given to it. Eight subjects (persons) were used in a database of 80 face images. A recognition accuracy of 95.6% was achieved with vertically oriented frontal views of a human face.
Keywords :
eigenvalues and eigenfunctions; face recognition; learning (artificial intelligence); neural nets; pattern classification; principal component analysis; visual databases; classification learning; eigenfaces; eigenvectors; face database; face recognition; neural network; principal component analysis; training Data; Data mining; Face detection; Face recognition; Humans; Image databases; Image recognition; Law enforcement; Neural networks; Principal component analysis; Workstations;
Conference_Titel :
Multi Topic Conference, 2001. IEEE INMIC 2001. Technology for the 21st Century. Proceedings. IEEE International
Print_ISBN :
0-7803-7406-1
DOI :
10.1109/INMIC.2001.995351