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Document images captured by a mobile phone camera often have perspective distortions. Efficiency and accuracy are two important issues in designing a rectification system for such perspective documents. In this paper, we propose a new perspective rectification system based on vanishing point detection. This system achieves both the desired ef- ficiency and accuracy using a multi-stage strategy: at the first stage, document boundaries and straight lines are used to compute vanishing points; at the second stage, text base- lines and block aligns are utilized; and at the last stage, character tilt orientations are voted for the vertical vanish- ing point. A profit function is introduced to evaluate the reliability of detected vanishing points at each stage. If van- ishing points at one stage are reliable, then rectification is ended at that stage. Otherwise, our method continues to seek more reliable vanishing points in the next stage. We have tested this method with more than 400 images includ- ing paper documents, signboards and posters. The image acceptance rate is more than 98.5% with an average speed of only about 60ms.

A Multi-Stage Strategy to Perspective Rectification for Mobile Phone Camera-Based Document Images