Title :
Interpretation of telephone system manhole drawings
Author :
Arias, Juan F. ; Lai, Chan P. ; Chandran, Surekha ; Kasturi, Rangachar ; Chhabra, Atul
Author_Institution :
Dept. of Comput. Sci. & Eng., Pennsylvania State Univ., University Park, PA, USA
Abstract :
The authors present efficient methodologies for interpreting manhole drawings of a telephone company for information extraction. They have developed a skew correction algorithm for deskewing scanned images, a new rule-based text/graphics separation algorithm for separating annotations in the drawings, and a graphics interpretation system which includes model-based arrow head detection, splice detection, and recognition of interconnections of cables and stubs. The final result from the interpretation system is a table which includes an ordered list of all cables and their interconnections which are contained in a manhole. Experimental results are used throughout to describe the algorithms
Keywords :
feature extraction; knowledge based systems; telephony; deskewing scanned images; graphics interpretation system; information extraction; model-based arrow head detection; rule-based text/graphics separation algorithm; skew correction algorithm; splice detection; telephone company; telephone system manhole drawings; Cables; Change detection algorithms; Computer science; Data mining; Engineering drawings; Graphics; Head; Image recognition; Telephony; Text analysis;
Conference_Titel :
Document Analysis and Recognition, 1993., Proceedings of the Second International Conference on
Conference_Location :
Tsukuba Science City
Print_ISBN :
0-8186-4960-7
DOI :
10.1109/ICDAR.1993.395714