Face Recognition Based on Grey Relation Metric

There are many distance metrics used in nearest neighbor classifiers. In this paper a grey relation metric, the balance incident degree (BID) is proposed as distance metric based on exploring the theory about grey relational analysis. The presented approach with the method of eigenface is applied in face recognition and compared with the common distance metrics. Through the experiments with ORL dataset, the recognition rates for BID are better than other metrics in the same condition. BID method can also cope with the high dimension problem. The results demonstrate BID can be a good distance metric and deduce into more applications.