28 January 2008 Efficient implementation of local adaptive thresholding techniques using integral images
Author Affiliations +
Abstract
Adaptive binarization is an important first step in many document analysis and OCR processes. This paper describes a fast adaptive binarization algorithm that yields the same quality of binarization as the Sauvola method,1 but runs in time close to that of global thresholding methods (like Otsu's method2), independent of the window size. The algorithm combines the statistical constraints of Sauvola's method with integral images.3 Testing on the UW-1 dataset demonstrates a 20-fold speedup compared to the original Sauvola algorithm.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Faisal Shafait, Faisal Shafait, Daniel Keysers, Daniel Keysers, Thomas M. Breuel, Thomas M. Breuel, } "Efficient implementation of local adaptive thresholding techniques using integral images", Proc. SPIE 6815, Document Recognition and Retrieval XV, 681510 (28 January 2008); doi: 10.1117/12.767755; https://doi.org/10.1117/12.767755
PROCEEDINGS
6 PAGES


SHARE
Back to Top