Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/81509
Title: Knowledge-based contextual processor for text recognition
Authors: Ong, Kenneth 
Lee, Hian-Beng 
Issue Date: 1993
Source: Ong, Kenneth,Lee, Hian-Beng (1993). Knowledge-based contextual processor for text recognition. Proceedings of the Conference on Artificial Intelligence Applications : 465-. ScholarBank@NUS Repository.
Abstract: This paper describes a knowledge-based system for the recognition of text found in medical books. It serves as a smart front-end for a bigger project on automatic knowledge acquisition. The focal point of the system is a knowledge-based contextual processor that uses lexical, syntactic and semantic information to improve the performance of the overall system. The natural language processing rules are used immediately after a word is recognized to provide feedback to the classifier during a run. The idea is to generate possible candidates from the input word and then filter out unlikely ones so that the most likely word is selected at the end. Currently, we are able to achieve a recognition accuracy of above 995%. We expect the recognition accuracy to be better when the entire system is completed.
Source Title: Proceedings of the Conference on Artificial Intelligence Applications
URI: http://scholarbank.nus.edu.sg/handle/10635/81509
ISBN: 0818638400
Appears in Collections:Staff Publications

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