Robust comparison of binary images
Pattern Recognition Letters
Comparing Images Using the Hausdorff Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Approach to Word Image Matching Based on Weighted Hausforff Distance
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Digital Libraries and Document Image Analysis
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
AGORA: the Interactive Document Image Analysis Tool of the BVH Project
DIAL '06 Proceedings of the Second International Conference on Document Image Analysis for Libraries
A Method for Image Local-Difference Visualization
ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 02
Binary-image comparison with local-dissimilarity quantification
Pattern Recognition
A new Hausdorff distance for image matching
Pattern Recognition Letters
Object matching algorithms using robust Hausdorff distance measures
IEEE Transactions on Image Processing
Hi-index | 0.02 |
In this article, we focus on the dating of images (impressions, ornamental letters) printed starting from the same stamp. This difficult task needs a good observation of the differences between the compared images. We present a method, based on a local adaptation of the Hausdorff distance, that evaluates locally the image differences. It allows the user to visualize these differences. A description of the pertinent differences for the dating allows us to evaluate our method visualization ability. Then our method is successfully compared to the existing method. Finally, a framework for a future automatic dating method is presented.