An Introduction to Digital Image Processing
An Introduction to Digital Image Processing
Enhancing access to the levy sheet music collection: reconstructing full-text lyrics from syllables
Proceedings of the 2nd ACM/IEEE-CS joint conference on Digital libraries
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Digital restoration using volumetric scanning
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
Building image-based electronic editions using the edition production technology
Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries
Adaptive degraded document image binarization
Pattern Recognition
Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries
User-assisted ink-bleed correction for handwritten documents
Proceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries
Hi-index | 0.00 |
Converting a scanned document to a binary format (black and white) is a key step in the digitization process. While many existing binarization algorithms operate robustly for well-kept documents, these algorithms often produce less than satisfactory results when applied to old documents, especially those degraded with stains and other discolorations. For these challenging documents, user assistance can be advantageous in directing the binarization procedure. Many existing algorithms, however, are poorly designed to incorporate user assistance. In this paper, we discuss a software framework, BinarizationShop, that combines a series of binarization approaches that have been tailored to exploit user assistance. This framework provides a practical approach for converting difficult documents to black and white.