Automatic Extraction and Recognition of Numbers in Topographic Maps
Xu Zhan · Zhongwen xinxi xuebao · 2001
Automatic vectorization of scanned topographic maps is an important and difficult problem that needs to be solved urgently.Atopographic map includes plenty of numbers with various fonts which indicate properties and other features of general configuration.Extracting and recognizing these numbers correctly is an important part in map disposal.Many present methods of extraction are analyzed on their disadvantages and a new extraction and recognition algorithm of numbers is presented in this paper.The algorithm first fixes on candidates according to transcendental sizes,and then recognizes real numbers with BP neural network of OCON structure.At last,it extracts extended numbers using relation of neighborhood.Experiments have proved it is fast,efficient and reliable.