A Prototype for Adaptive Association of Street Names with Streets on Maps

G. Nagy, A. Samal, S. Seth, T. Fisher, E. Guthmann, K. Kalafala, L. Li, P. Sarkar, S. Sivasubramaniam, Y. Xu

Rensselaer Polytechnic Institute, Troy, NY, USA

We present work in progress on the development of a partially-automated system for interpretation of map images. The principal aim of our project is to demonstrate that an adaptive system can decrease operator intervention with increasing conversion volume. The extracted information is evaluated against an established database, and a cost model is constructed to evaluate the entire conversion task.


GREC'97 program