Old document recognition using fuzzy methods
by J.M.C. Sousa, J.M. Gil, C.S. Ribeiro, J.R. Caldas Pinto
International Journal of Intelligent Systems Technologies and Applications (IJISTA), Vol. 1, No. 3/4, 2006

Abstract: This paper proposes an expert system based on fuzzy logic for optical character recognition of old printed documents. These documents can have some problems, such as distortion, poor printing quality, faded and misprinted characters, speckles and smudges. The recognition process consists of two stages: training with character image examples and classification of new character images. The proposed OCR builds fuzzy membership functions from oriented features extracted using Gabor filter banks. The proposed methodology is tested on three different books from the 17th century, written in Portuguese. The fuzzy recogniser presents a very high character recognition success rate, which confirms the advantage of using expert systems in image based decision systems.

Online publication date: Thu, 01-Jun-2006

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Intelligent Systems Technologies and Applications (IJISTA):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com