Face recognition: a convolutional neural-network approach
- 1 January 1997
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Neural Networks
- Vol. 8 (1), 98-113
- https://doi.org/10.1109/72.554195
Abstract
We present a hybrid neural-network for human face recognition which compares favourably with other methods. The system combines local image sampling, a self-organizing map (SOM) neural network, and a convolutional neural network. The SOM provides a quantization of the image samples into a topological space where inputs that are nearby in the original space are also nearby in the output space, thereby providing dimensionality reduction and invariance to minor changes in the image sample, and the convolutional neural network provides partial invariance to translation, rotation, scale, and deformation. The convolutional network extracts successively larger features in a hierarchical set of layers. We present results using the Karhunen-Loeve transform in place of the SOM, and a multilayer perceptron (MLP) in place of the convolutional network for comparison. We use a database of 400 images of 40 individuals which contains quite a high degree of variability in expression, pose, and facial details. We analyze the computational complexity and discuss how new classes could be added to the trained recognizer.Keywords
This publication has 25 references indexed in Scilit:
- Using discriminant eigenfeatures for image retrievalIEEE Transactions on Pattern Analysis and Machine Intelligence, 1996
- From Data Distributions to Regularization in Invariant LearningNeural Computation, 1995
- Human and machine recognition of faces: a surveyProceedings of the IEEE, 1995
- Signature verification using global and grid featuresPattern Recognition, 1994
- Evaluation of pattern classifiers for fingerprint and OCR applicationsPattern Recognition, 1994
- Distortion invariant object recognition in the dynamic link architectureInternational Conference on Acoustics, Speech, and Signal Processing (ICASSP), 1993
- Face recognition: features versus templatesIEEE Transactions on Pattern Analysis and Machine Intelligence, 1993
- Eigenfaces for RecognitionJournal of Cognitive Neuroscience, 1991
- The self-organizing mapProceedings of the IEEE, 1990
- Text-dependent speaker verification using vector quantization source codingIEEE Transactions on Acoustics, Speech, and Signal Processing, 1987