This paper describes a framework to recognizing and recreating folding process of origami based on illustrations of origami drill books. Illustration images acquired from origami books are motley and not sequenced. Moreover, the information obtained from 2D illustrations is so superficial and incomplete that the folding operations cannot be determined uniquely. To solve these problems, a highly flexible and reliable recognition mechanism is proposed in this paper.This paper additionally includes the content as follows. Firstly, an algorithm for revising the positions of folding operations extracted from illustrations is proposed so as to make our recognition approach more reliable. Secondly, the outline of the methods which enable feasible folding operations to be generated based only on superficial and incomplete information extracted from illustrations is described. Finally, some updating procedures are proposed to maintain consistency of data (called internal model) which record the transformation of origami models in 3D virtual space during a folding process. Several examples that prove the validness of proposed algorithms/methods are also given in this paper.