Title :
A Back Propagation Network for face identification and localization
Author_Institution :
Comput. Sci. & Eng. Dept., NIT Durgapur, Durgapur, India
Abstract :
The entire process of face detection, identification and localization of faces should preferably be almost orientation or rotation invariant. The present paper aims to design one optimal Back Propagation (BP) Network model to perform these face identification tasks. The task is partially independent of orientation or rotation of the faces in the image. Also the identification rate of the faces is quiet moderate.
Keywords :
backpropagation; face recognition; neural nets; BP; back propagation network; face detection; face identification; face localization; Biological neural networks; Databases; Face; Face detection; Humans; Pattern recognition; Training; ANN; BP Network; Detection Rate; Face Detection; Face Identification; False Positive and False Negative; Identification Rate; Machine Learning;
Conference_Titel :
Recent Trends in Information Systems (ReTIS), 2011 International Conference on
Conference_Location :
Kolkata
Print_ISBN :
978-1-4577-0790-2
DOI :
10.1109/ReTIS.2011.6146834
