Abstract

In recent years, more and more fonts have been implemented in the digital publishing industry and in reading devices. In this thesis, we focus on the methods of evaluating digital Chinese fonts and their typeface characteristics. Our goal is to seek a good way to enhance the legibility and readability of Chinese characters displayed on digital devices such as cell phones, tablets and e-book devices. To accomplish this goal, we have combined methods in data mining, and pattern recognition with psychological and statistical analyses. Our research involved an extensive survey of the distinctive features of eighteen popular Chinese digital typefaces. Survey results were tabulated and analyzed statistically. Then, two objective experiments were conducted, using the best six fonts derived from the survey results. These experimental results have revealed an effective way of choosing legible and readable Chinese digital fonts that are most suitable for the comfortable reading of books, magazines, newspapers, and for the display of texts on cell-phones, e-books, and digital libraries. Results also helped us find out the features for improving character legibility and readability of different Chinese typefaces. The relationships among legibility, readability, eye-strain, and myopia, will be discussed. Moreover, digital market requirements and analyses will be provided.