Title :
Neural network segmentation and recognition of text data on engineering documents
Author :
Gouin, Philip ; Scofield, Christopher L. ; Gareyte, Christophe ; Pham, Hao-Nhiên
Author_Institution :
Nestor Inc., Providence, RI, USA
Abstract :
The implementation of a novel neural network strategy for the segmentation of text information in the noisy, cluttered, and unconstrained environment typical of an engineering document is described. Additionally, the use of a neural network classifier for segmented mixed handprint and machine print characters is discussed. The results of the application of the system to the problem of extraction and recognition of the text information of water-network maps is presented
Keywords :
character recognition; document image processing; image segmentation; neural nets; engineering documents; handprint characters; machine print characters; neural network classifier; neural network strategy; segmentation; text data; Artificial neural networks; Character recognition; Data engineering; Data mining; Engineering drawings; Image segmentation; Neural networks; Optical character recognition software; Pixel; Text recognition;
Conference_Titel :
Neural Networks, 1992. IJCNN., International Joint Conference on
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-0559-0
DOI :
10.1109/IJCNN.1992.227065
