A Method of Automatic Skew Normalization for Input Images

摘要

It becomes essential in practice to improve a pro- cessing rate and to divide an image into small segments adjusting a limited memory, because image filing systems handle large images up to Al size. This paper proposes anew method of an automatic skew normalization, comprising a high-speed skew detection and a distor- tion-free dividing rotation. We have evaluated the proposed method from the viewpoints of the processing rate and the accuracy for typed documents. As results, the processing rate is 2.9 times faster than that of a conventional method.