Face Recognition Using Long Haar-like Filters
نویسندگان
چکیده
A face recognition method based on long Haar-like filters is proposed. This filter takes a vector form whose components consist of 1 and −1. Although the learning of the filter is basically by the principal component analysis (PCA), our approach lies in constructing a highpass filter with 1 and −1 as filter coefficients. This approach yields a combinatorial optimization problem. Since the problem is NP-hard, an alternative method for finding approximate solutions is provided. Using the learned long Haar-like filters, the feature vectors of training and query images are constructed. The similarity between the query and the training images is measured by using the cosine distance.
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