Volume 10, Issue 3 (September 2014)                   IJEEE 2014, 10(3): 176-187 | Back to browse issues page

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Mozaffari S, Hajian Nezhad A A. FONT DISCRIMINATIO USING FRACTAL DIMENSIONS. IJEEE 2014; 10 (3) :176-187
URL: http://ijeee.iust.ac.ir/article-1-531-en.html
FONT DISCRIMINATIO USING FRACTAL DIMENSIONS
S. Mozaffari , A. A. Hajian Nezhad
Abstract:   (4929 Views)
One of the related problems of OCR systems is discrimination of fonts in machine printed document images. This task improves performance of general OCR systems. Proposed methods in this paper are based on various fractal dimensions for font discrimination. First, some predefined fractal dimensions were combined with directional methods to enhance font differentiation. Then, a novel fractal dimension was introduced in this paper for the first time. Our feature extraction methods which consider font recognition as texture identification are independent of document content. Experimental results on different pages written by several font types show that fractal geometry can overcome the complexities of font recognition problem.
Keywords: Optical Character Recognition (OCR) , Optical Font Recognition (OFR) , Fractal Geometry , Fractal Dimension (FD)
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Type of Study: Research Paper | Subject: Image Processing
Received: 2012/11/11 | Revised: 2014/09/28 | Accepted: 2014/09/23
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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
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