Connected character recognition with a neural network
Kunihiko Fukushima · 2002
The selective attention model proposed by the author is a neural network model which has the ability to segment patterns, as well as the function of recognizing them. The principles of this selective attention model have been extended for the recognition and segmentation of connected characters. The topics discussed include the network architecture, pattern recognition, segmentation, repairing imperfect patterns, attention focusing, search control, attention switching, size and position information, and computer simulation. Improvement of the system using bend detectors is discussed.>