title: Features of central projection average difference function for skull recognition.
abstract: The recognition technology based on biological feature is a hot topic in recent years, and the recognition technology concerning the skull features was studied in this paper. The central projection transform about the two-dimension skull image was performed, the central projection function of the gray value was obtained, the average difference function of the central projection value and it's vectors were defined, and the research on the vector feature of the average difference function was carried out. This feature is robust in noisy backgrounds, less calculation consuming, and it can also be used to recognize other objects.
authors.affiliation: College of Information and Electrical Engineering, Shandong University of Science and Technology, Qingdao, Chin. my-cao@263.net
authors.forename: Maoyong
authors.initials: M
authors.lastname: Cao
authors.forename: Xiaobo
authors.initials: X
authors.lastname: Che
authors.forename: Nongliang
authors.initials: N
authors.lastname: Sun
authors.forename: Jing
authors.initials: J
authors.lastname: Li