PCA-Based Multispectral Band Compression and Multispectral Palmprint Recognition

In this paper, we propose a PCA-based spectral band compression and multispectral palmprint recognition method. This method first exploits PCA to compress original multispectral bands to a smaller number of ´bands´ and then uses the compressed bands to classify palmprint images. The experimental results show that our proposed PCA-based spectral band compression and recognition method can use very low-dimensional data to represent the original multispectral palmprint images and obtain a high classification accuracy.