title: [Recognition of Gaussian pixelate Chinese character based on simulated prosthetic vision].
abstract: In this paper, Gaussian pixelate Chinese character processing software is designed, and HMD is used to realize the recognition experiment for pixelate Chinese characters based on simulated prosthetic vision. The structure of recognition system, software design and the experiment for determining Gaussian width (sigma) are presented. It is shown that when sigma is 0.235, the recognition program is the best.
authors.affiliation: Shanghai Jiao Tong University, Shanghai.
authors.forename: Ji
authors.initials: J
authors.lastname: Zhao
authors.forename: Xue-Quan
authors.initials: XQ
authors.lastname: Lv
authors.forename: Chun-Rui
authors.initials: CR
authors.lastname: Huang
authors.forename: Pan-Pan
authors.initials: PP
authors.lastname: Chen
authors.forename: Xin-Yu
authors.initials: XY
authors.lastname: Chai
mesh_terms: D004867:Equipment Design; D007091:Image Processing, Computer-Assisted; D007802:Language; D019736:Prostheses and Implants; D012985:Software Design; D014796:Visual Perception