In the biometric recognition, face recognition is the most natural, direct method. Research on face recognition has a high
theoretical significance and practical value. In this paper, firstly we use the Gabor filter to extract face image features,
and then denote to further dimensionality reduction by Hopfield Neural Network. At last, for face classification, a new
method based on support vector machine- No-balance Binary Tree Support Vector Machine (NBBTSVM) is proposed
to decide a label in this face recognition task. SVM has excellent performance to solve binary classification but for
multi-classification, it's an ongoing research. According to our experiment results, NBBTSVM could do a good
performance.
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