Please use this identifier to cite or link to this item:
|Title:||Neural network application to container number recognition||Authors:||Lui, Ho C.
Lee, Chung M.
|Issue Date:||1990||Citation:||Lui, Ho C.,Lee, Chung M.,Gao, Fang (1990). Neural network application to container number recognition. Proceedings - IEEE Computer Society's International Computer Software & Applications Conference : 190-195. ScholarBank@NUS Repository.||Abstract:||The authors describe an application of neural network technology to a practical problem: the recognition of container identification numbers. The general problem is described and technical difficulties are highlighted. A solution is proposed and a set of algorithms is implemented. Emphasis is placed here on the development of the character recognition algorithm, which uses a neural network model known as the neocognitron. The general recognition methodology is discussed and the experimental results are reported. It is observed that this neural network model can attain a high level of accuracy even though the input patterns are highly distorted.||Source Title:||Proceedings - IEEE Computer Society's International Computer Software & Applications Conference||URI:||http://scholarbank.nus.edu.sg/handle/10635/111270||ISSN:||07306512|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Jul 19, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.