Automated Dewarping Algorithms for Enhancing Camera-Based Document Acquisition
January 1, 2008Laserfiche Mathematics, 2007-08
Liaison(s): Karl Chan ’89, James Egan ’06, Kurt Rapelje
Advisor(s): Darryl Yong ’96
Students(s): Logan Gordon, Martin Hunt (PM), Maria Pavlovskaia (S), Trang Pham (F), Will Tipton
It is often faster and more convenient to digitize physical documents using photographs from digital cameras rather than scanners. However, such photographs suffer from perspective distortion, bends and folds in the documents and other imperfections. The Clinic team designed and implemented algorithms that can correct these distortions. The team’s system automatically dewarps photographs of documents to improve the readability of the images for both humans and computers.