Self-organization of high-order receptive fields in recognition of handprinted characters
Resource
Neural Information Processing, 1999. Proceedings. ICONIP '99. 6th International Conference on
Journal
6th International Conference on Neural Information Processing
Pages
1161-1166
Date Issued
1999-11
Date
1999-11
Author(s)
Yang, Hsin-Chang
DOI
N/A
Abstract
The printed areas of a handprinted character with thick strokes were replaced by a frame formed by bended ellipses to represent the character efficiently and emulate high order receptive fields in a visual system. To afford topology preservation during adaptive matching of this frame with a template frame, we employ a devised self-organization model. This model uses these bended ellipses as training patterns in searching, measuring and updating their corresponding ellipses in the template frame. The neighborhood of a corresponding ellipse is also weighted by the appearance of the training bended-ellipse. With this method, each handprinted character can effectively evolve into its template character with predetermined training parameters. Each template has a different number of training cycles. Within this controlled number of cycles, the model can flex a handprinted character into a correct template.
Type
conference paper
File(s)![Thumbnail Image]()
Loading...
Name
00844700.pdf
Size
620.96 KB
Format
Adobe PDF
Checksum
(MD5):452c8540c8f91c04b0eadb16f6be5c40