Sampling and quantization of bilevel signals
Pattern Recognition Letters
Large-Scale Simulation Studies in Image Pattern Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Spatial Sampling of Printed Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
Characterization of image degradation caused by scanning
Pattern Recognition Letters
Scanner Parameter Estimation Using Bilevel Scans of Star Charts
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
DIAR: Advances in Degradation Modeling and Processing
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
Robust chinese character recognition by selection of binary-based and grayscale-based classifier
DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
| Hi-index | 0.00 |
This paper discusses the use of character images todetermine the parameters of an image degradation model.The acute angles in character images provide informationused to find the model parameters. Three experiments areconducted to evaluate the use of characters. In the firstexperiment, large quantities of corners from characterimages are used to investigate how their contributionaffects the mean and the standard deviation of the parameterestimators. In the second experiment, we focus on therelationship between the angles of the corners used in estimationand the estimation results. In the last experiment,we examine how likely the text in a common page wouldoffer a reasonable estimation result compared to theresults from experiments 1 and 2.