Book ChapterDOI
A Hardware-Directed Face Recognition System Based on Local Eigen-analysis with PCNN
C. H. Siva Sai Prasanna,N. Sudha,V. Kamakoti +2 more
- pp 327-332
TLDR
A new face recognition system based on eigenface analysis on segments of face images is discussed in this paper, which can tolerate local variations in the face such as expression changes and directional lighting.Abstract:
A new face recognition system based on eigenface analysis on segments of face images is discussed in this paper. The eigenfaces are extracted using principal component neural networks. The proposed recognition system can tolerate local variations in the face such as expression changes and directional lighting. Further, the system can be easily mapped onto the hardware.read more
Citations
More filters
Proceedings ArticleDOI
Design and Implementation of a Robust Palm Biometrics Recognition and Verification System
TL;DR: The paper attempts to scientifically develop a comprehensive set of hand geometry features and develop an original algorithm from a fundamental level to robustly compute a selected set of features so as to minimize palm placement effect.
References
More filters
Book
Neural Networks: A Comprehensive Foundation
TL;DR: Thorough, well-organized, and completely up to date, this book examines all the important aspects of this emerging technology, including the learning process, back-propagation learning, radial-basis function networks, self-organizing systems, modular networks, temporal processing and neurodynamics, and VLSI implementation of neural networks.
Journal ArticleDOI
Eigenfaces for recognition
Matthew Turk,Alex Pentland +1 more
TL;DR: A near-real-time computer system that can locate and track a subject's head, and then recognize the person by comparing characteristics of the face to those of known individuals, and that is easy to implement using a neural network architecture.
Proceedings ArticleDOI
Face recognition using eigenfaces
Matthew Turk,Alex Pentland +1 more
TL;DR: An approach to the detection and identification of human faces is presented, and a working, near-real-time face recognition system which tracks a subject's head and then recognizes the person by comparing characteristics of the face to those of known individuals is described.
Journal ArticleDOI
Simplified neuron model as a principal component analyzer
TL;DR: A simple linear neuron model with constrained Hebbian-type synaptic modification is analyzed and a new class of unconstrained learning rules is derived.
Journal ArticleDOI
Optimal Unsupervised Learning in a Single-Layer Linear Feedforward Neural Network
TL;DR: An optimality principle is proposed which is based upon preserving maximal information in the output units and an algorithm for unsupervised learning based upon a Hebbian learning rule, which achieves the desired optimality is presented.