Ziliang Ping

Beijing University of Posts and Telecommunications

Papers

Total Citations

H-Index

About

Ziliang Ping is a researcher whose work lies at the intersection of computer vision, pattern recognition, and image processing. His most notable contribution is the development and application of Radial Harmonic Fourier Moments (RHFMs), a powerful set of image descriptors that are invariant to translation, rotation, scaling, and intensity changes. In his highly cited 2011 paper, "Chinese Chess Character Recognition with Radial Harmonic Fourier Moments," Ping demonstrated how RHFMs could be used to reliably recognize rotated Chinese chess characters, showcasing their excellent image description ability, strong noise resistance, and low computational complexity. This work has garnered 9 citations and remains a key reference for researchers working on rotation-invariant feature extraction and character recognition. Ping’s research has practical implications for automated game analysis, document digitization, and cultural heritage preservation. His innovative use of RHFMs continues to influence the development of robust recognition systems in challenging real-world conditions.