Detection and recognition of texts in cartographic images
Historical maps give an idea of growth and development of an area. These maps are now available in digitized form. But none are catalogued and annotated. Thus, the performance of any algorithm running on these maps couldn't be evaluated. As a first phase to this project, we have annotated a publicly available map image database.
In the following panel you can see the original images from the David Rumsey Collection and the corresponding annotated ones (the files are lined up side by side).
Results of different methods on each mapsPlease go to the following link to access all the results. Results
Details about the dataWe gratefully acknowledge the David Rumsey Map Collection as the source of the map images. It comes with the following notice:
Images copyright © 2000 by Cartography Associates. Images may be reproduced or transmitted, but not for commercial use. ... This work is licensed under a Creative Commons [Attribution-NonCommercial-ShareAlike 3.0 Unported] license. By downloading any images from this site, you agree to the terms of that license.
Data Format:Each of the annotations are provided as a numpy file. The file contains a python dictionary of python dictionaries. To import the data in python use the command:
A = numpy.load('filename').item()Each dictionary contains the following three fields:
File to visualize the data against each image:Visualizer