Warped document restoration by recovering shape of the surface

Document images produced by scanner or digital camera, usually suffer from two main distortions: geometric and photometric. Both of them deteriorate the performance of OCR systems. In this paper, we present a novel method to compensate for undesirable geometric distortions aiming to improve OCR results. Our methodology is based on low cost transformation which addresses the projection of curve line to 2-D rectangular area combined with finding text lines. Experimental results on several document images, indicate the effectiveness of the proposed method.