Geometric Precision in Noise-Free Digital Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Topology of Locales and Its Effects on Position Uncertainty
IEEE Transactions on Pattern Analysis and Machine Intelligence
Validation of Image Defect Models for Optical Character Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Subpixel Precision of Straight-Edged Shapes for Registration and Measurement
IEEE Transactions on Pattern Analysis and Machine Intelligence
Document Image Coding for Processing and Retrieval
Journal of VLSI Signal Processing Systems - special issue on multimedia signal processing
Twenty Years of Document Image Analysis in PAMI
IEEE Transactions on Pattern Analysis and Machine Intelligence
Locating and Recognizing Text in WWW Images
Information Retrieval
Relating Statistical Image Differences and Degradation Features
DAS '02 Proceedings of the 5th International Workshop on Document Analysis Systems V
Estimating Degradation Model Parameters from Character Images
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Text Degradations and OCR Training
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Modeling context as statistical dependence
CONTEXT'05 Proceedings of the 5th international conference on Modeling and Using Context
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The bitmap obtained by scanning a printed pattern depends on the exact location of the scanning grid relative to the pattern. We consider ideal sampling with a regular lattice of delta functions. The displacement of the lattice relative to the pattern is random and obeys a uniform probability density function defined over a unit cell of the lattice. Random-phase sampling affects the edge-pixels of sampled patterns. The resulting number of distinct bitmaps and their relative frequencies can be predicted from a mapping of the original pattern boundary to the unit cell (called a modulo-grid diagram). The theory is supported by both simulated and experimental results. The modulo-grid diagram may be useful in helping to understand the effects of edge-pixel variation on Optical Character Recognition.