This paper has two contributions toward understanding the principles in font design. The first contribution of this paper is to discover the most standard font shape of each letter class by analyzing thousands of different fonts. For this analysis, two different methods are used. The first method is congealing for aligning multiple images based on a nonlinear geometric transformation model. The average of the aligned image is considered as a standard font shape. The second method is network analysis for representing font variations as a large-scale relative neighborhood graph (RNG) and then finding its center. The font corresponding to the center is considered as the standard font shape. Both of the standard font shapes given by the two methods are plain without decoration, serif, or slant, and thus give an objective reason why we consider the plain font as the typical font shape. The second contribution is to utilize the RNG and the pairwise congealing technique for discovering unexplored font designs and then generating totally new fonts automatically.