The nanowood powder made from varying wood species has different properties. Therefore, while preparing nanowood powder, it is critical for us to accurately identify the wood species. By adopting the method of analyzing the wood species from the microstructure of the plate cell, we
are able to ensure a high level of accuracy of the recognition. It is one of the commonly used parameters to identify sheet materials for further exploration of the microscopic cell shape. While applying the method of improved Fourier descriptor and the method of shape context, we have carried
out the mathematical analysis of common soft wood plank cells in 5 slice images. In addition, we have conducted studies on the single cell graphics and quadrilateral, pentagon, round, oval similarity analysis respectively, and explored the use of benchmark cell model, thus providing statistical
support for the subsequent material identification. Experiments have shown that this method is both efficient and robust in identifying sheet materials.