جلد 10، شماره 3 - ( 6-1393 )                   جلد 10 شماره 3 صفحات 176-187 | برگشت به فهرست نسخه ها


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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-fa.html
FONT DISCRIMINATIO USING FRACTAL DIMENSIONS. . 1393; 10 (3) :176-187

URL: http://ijeee.iust.ac.ir/article-1-531-fa.html


چکیده:   (986 مشاهده)
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.
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نوع مطالعه: Research Paper | موضوع مقاله: 5-Image Processing
دریافت: ۱۳۹۱/۸/۲۱ | پذیرش: ۱۳۹۳/۷/۱ | انتشار: ۱۳۹۳/۷/۱

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