Title :
Information extraction from telephone company drawings
Author :
Arias, Juan F. ; Balasubramanian, Sanjay ; Prasad, Arathi ; Kasturi, Rangachar ; Chhabra, Atul
Author_Institution :
Dept. of Comput. Sci. & Eng., Pennsylvania State Univ., University Park, PA, USA
Abstract :
A system for the interpretation of telephone company drawings is described. Two different types of drawings are interpreted: manhole and table drawings. Each drawing is interpreted by using a different approach to suit its characteristics. Manhole drawings represent the interconnection of telephone lines in the field. The approach used is the vectorization of the line segments to extract continuous lines. The table drawings contain information related to the cables in the manhole. The approach is to locate lines and their intersections to extract the information for entries. An Intelligent Character Recognition (ICR) system is used to interpret text information by using grammars
Keywords :
image recognition; optical character recognition; telecommunications computing; telephone lines; Intelligent Character Recognition; interpretation; manhole drawings; table drawings; telephone company drawings; text information; Optical character recognition; Pattern recognition;
Conference_Titel :
Computer Vision and Pattern Recognition, 1994. Proceedings CVPR '94., 1994 IEEE Computer Society Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-8186-5825-8
DOI :
10.1109/CVPR.1994.323888