Abstract
Moment descriptors have long been applied in object recognition since the early years of the development of the moment theories. Nowadays, discrete orthogonal moments have been studied and proposed for they are superior to traditional continuous ones. In this paper, a set of moment features extracted from the discrete Krawtchouk moments for Chinese character recognition is presented. A new method of evaluating the variance values of each moment feature is applied in this research. Tested on a set of 6,763 Chinese characters, our newly proposed Krawtchouk moment features perform very well in distinguishing all Chinese character pairs that have similar structures... © 2013 Springer-Verlag.
Author supplied keywords
Cite
CITATION STYLE
Hu, B., & Liao, S. (2013). Chinese character recognition by Krawtchouk moment features. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7950 LNCS, pp. 711–716). https://doi.org/10.1007/978-3-642-39094-4_81
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
