TY - JOUR U1 - Zeitschriftenartikel, wissenschaftlich - begutachtet (reviewed) A1 - Lechner, Werner T1 - Face recogniton based on the optimal combination of neural networks, eigenfaces and least squares matching methods N2 - Report of a research project of the Fachhochschule Hannover, University of Applied Sciences and Arts, Department of Information Technologies. Automatic face recognition increases the security standards at public places and border checkpoints. The picture inside the identification documents could widely differ from the face, that is scanned under random lighting conditions and for unknown poses. The paper describes an optimal combination of three key algorithms of object recognition, that are able to perform in real time. The camera scan is processed by a recurrent neural network, by a Eigenfaces (PCA) method and by a least squares matching algorithm. Several examples demonstrate the achieved robustness and high recognition rate. KW - Biometrie KW - Neuronales Netz KW - Künstliche Intelligenz KW - Gesichtserkennung KW - face recognition KW - eigenface Y1 - 2005 UN - https://nbn-resolving.org/urn:nbn:de:bsz:960-opus-470 U6 - https://doi.org/10.25968/opus-26 DO - https://doi.org/10.25968/opus-26 ER -