Techniques for off-line recognition of handwritten words commonly require a form of character segmentation. We present an approach based on training of a neural network for segmentation. Using a large database of hand-segmented images we can successfully train the network to segment images. Results indicate that the approach is promising in situations where context cannot be employed as an aid to segmentation
Published in:
Image Processing and Its Applications, 1997., Sixth International Conference on
(Volume:2
)
Date of Conference: 14-17 Jul 1997