CHARACTER RECOGNITION USING A SELF-ADAPTIVE TRAINING
Speed is a significant factor in the implementations of rule-based systems, and many inference engines slow dramatically as the size of the problem increases. Test sets such as Waltz and Manners measure the speed of first order logic inference engines. However, to our knowledge, no test sets for pro...
Main Author: | Shamsuddin Ahmed |
---|---|
Format: | Article |
Language: | English |
Published: |
IACIS
2002-01-01
|
Series: | Issues in Information Systems |
Online Access: | http://iacis.org/iis/2002/Ahmed.pdf |
Similar Items
-
An adaptive recognition system for machine printed characters using microcomputers
by: Chan, Wai Yip
Published: (1979) -
Handwritten Devanagari Character Recognition Using Layer-Wise Training of Deep Convolutional Neural Networks and Adaptive Gradient Methods
by: Mahesh Jangid, et al.
Published: (2018-02-01) -
A Font-Adaptive Approach to Printed Chinese Character Recognition
by: Her-Shin Yang, et al.
Published: (1996) -
Using Confusion Characters to Improve Character Recognition Rate
by: Lin, Yeu-Chang, et al.
Published: (1996) -
Optical character recognition : an approach using self- adjusting segmentation of a matrix
by: Kirkpatrick, Michael Gorden
Published: (2011)