TY - JOUR ID - 72430 TI - Document Image Dewarping Based on Text Line Detection and Surface Modeling (RESEARCH NOTE) JO - International Journal of Engineering JA - IJE LA - en SN - 1025-2495 AU - Shamgholi, Maryam AD - Electrical & Robotic Engineering, University of Shahrood Y1 - 2014 PY - 2014 VL - 27 IS - 12 SP - 1855 EP - 1862 KW - Document Image Processing KW - Document Image Rectification KW - Image Dewarping KW - Text Line Detection DO - N2 - Document images produced by scanner or digital camera, usually suffer from geometric and photometric distortions. 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 finding text lines by dynamic local connectivity map and then applying a low cost transformation to project curved area to 2-D rectangular area. We evaluate the performance of the proposed methods in combination with three participating methods on the public DFKI-I dataset (CBDAR 2007 dewarping contest), which contains camera-captured document images. Experimental results indicate the effectiveness and superiority of the proposed method. UR - https://www.ije.ir/article_72430.html L1 - https://www.ije.ir/article_72430_2ba042de248c1e5f537b1bd4793ab8d4.pdf ER -