Volume 10, Number 3 (Sept. 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

Abstract:   (987 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.
Full-Text [PDF 1374 kb]   (693 Downloads)    
Type of Study: Research Paper | Subject: Image Processing
Received: 2012/11/11 | Accepted: 2014/09/23 | Published: 2014/09/23

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