Multi-Exposure Document Fusion Based on Edge-Intensities

This paper presents a new algorithm for fusioning images of text-documents taken with different exposures. It is compared to several standard block oriented exposure- and focus-blending-algorithms. The recognition rate of a publicly available OCR-engine is used as a benchmark to quantify the results. Experiments show in average an improvement in the recognition rate from 0.46 to 0.64 by employing exposure blending as preprocessing step to an OCR. The presented algorithm of blending high-pass filtered images instead of original images further increases the recognition rate to 0.95.

• Type: Conference
• Year: 2009
• Where: ICDAR
• Authors: Marco Block, Maxim Schaubert, Fabian Wiesel, Raúl Rojas
• Keywords: Block Oriented Exposure, Document Analysis, Exposure Blending, ICDAR 2009, Recognition Rate