Fast Local Ordinal Code for Small Sample Palmprint Recognition

In response to the shortcomings of high computational cost and low accuracy of the local recognition descriptor method for palmprint images, this paper proposes a new Local Ordinal Code (LOC), which utilizes three common filters for multi-directional filtering coding. For the demand for large-scale retrieval, a new dimension control factor is proposed to perform linear feature dimensionality reduction to achieve fast matching. In addition, Feature Fusion coding schemes of LOC (FFLOC) are proposed on the basis of LOC, and the obtained feature codes are fused with different weights to achieve higher recognition accuracy. The algorithm proposed in this paper is tested in five publicly available palmprint databases and one self-collected palmprint database, and the best results are obtained on most datasets.