Ten lectures on wavelets
CVGIP: Graphical Models and Image Processing
An Introduction to Digital Image Processing
An Introduction to Digital Image Processing
Restoration of Archival Documents Using a Wavelet Technique
IEEE Transactions on Pattern Analysis and Machine Intelligence
Improved binarization algorithm for document image by histogram and edge detection
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 2) - Volume 2
On the Evaluation of Document Analysis Components by Recall, Precision, and Accuracy
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
Character Extraction from Noisy Background for an Automatic Reference System
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
A noise attribute thresholding method for document image binarization
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 1) - Volume 1
A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way
A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way
DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
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In this paper, we propose a directional wavelet approachto remove images of interfering strokes coming from theback of a historical handwritten document due to seepingof ink during long period of storage. Our previous workrequired mapping of both sides of the document in orderto identify the interfering strokes to be eliminated. Perfectmapping, however, is difficult due to document skews,differing resolutions, non-availability of the reverseside and warped pages during scanning. The newapproach does not require double-sided mapping butinstead uses a directional wavelet transformto distinguish the foreground and reverse side strokes.Experiments have shown that the directional waveletoperation effectively removes the interfering strokes.