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What is Convolutional Neural Networks for Face Recognition about?

This document summarizes a research paper on face recognition using a convolutional neural network approach. The paper presents a hybrid neural network system that combines local image sampling, a self-organizing map (SOM) neural network, and a convolutional neural network for face recognition. The system is tested on a database of 400 images of 40 individuals and is able to achieve an error rate of 3.8% with five images per person in the training database, performing better than the eigenfaces approach. Th

Author

Neeraj Kannaugiya

Language

EN