Large-Scale Simulation Studies in Image Pattern Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Independent component analysis: algorithms and applications
Neural Networks
A Statistical, Nonparametric Methodology for Document Degradation Model Validation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Restoration of Archival Documents Using a Wavelet Technique
IEEE Transactions on Pattern Analysis and Machine Intelligence
Correcting Show-Through Effects on Document Images by Multiscale Analysis
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
IWFHR '02 Proceedings of the Eighth International Workshop on Frontiers in Handwriting Recognition (IWFHR'02)
Estimating Degradation Model Parameters from Character Images
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
IEEE Transactions on Pattern Analysis and Machine Intelligence
Document Image Ground Truth Generation from Electronic Text
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
Physical Modeling of "Xuan" Paper in the Simulation of Chinese Ink-Wash Drawing
CGIV '05 Proceedings of the International Conference on Computer Graphics, Imaging and Visualization
Digital image analysis to enhance underwritten text in the Archimedes palimpsest
International Journal on Document Analysis and Recognition
International Journal on Document Analysis and Recognition
Human Image Preference and Document Degradation Models
ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 01
ICIG '07 Proceedings of the Fourth International Conference on Image and Graphics
Show-through cancellation in scans of duplex printed documents
IEEE Transactions on Image Processing
Inkjet printer model-based halftoning
IEEE Transactions on Image Processing
The FastICA Algorithm Revisited: Convergence Analysis
IEEE Transactions on Neural Networks
A Taxonomy for Noise in Images of Paper Documents - The Physical Noises
ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition
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State-of-the-art OCR/ICR algorithms and software are the result of large-scale experiments on the accuracy of OCR systems and proper selection of the size and distribution of training sets. The key factor in improving OCR technology is the degradation models. While it is a leading-edge tool for processing conventional printed materials, the degradation model now faces additional challenges as a result of the appearance in recent years of new imaging media, new definitions of text information, and the need to process low quality document images. In addition to discussing these challenges in this paper, we present well-developed degradation models and suggest some directions for further study. Particular attention is paid to restoration and enhancement of degraded single-sided or multi-sided document images which suffer from bleed-through or shadow-through.