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		<title>Akinlar et al 2013a - Revision history</title>
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		<updated>2026-05-11T15:37:39Z</updated>
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		<title>Scipediacontent: Scipediacontent moved page Draft Content 521403119 to Akinlar et al 2013a</title>
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				<updated>2021-02-08T08:55:36Z</updated>
		
		<summary type="html">&lt;p&gt;Scipediacontent moved page &lt;a href=&quot;/public/Draft_Content_521403119&quot; class=&quot;mw-redirect&quot; title=&quot;Draft Content 521403119&quot;&gt;Draft Content 521403119&lt;/a&gt; to &lt;a href=&quot;/public/Akinlar_et_al_2013a&quot; title=&quot;Akinlar et al 2013a&quot;&gt;Akinlar et al 2013a&lt;/a&gt;&lt;/p&gt;
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				&lt;td colspan='1' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan='1' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;Revision as of 08:55, 8 February 2021&lt;/td&gt;
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		<author><name>Scipediacontent</name></author>	</entry>

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		<id>http://www.colloquiam.com/wd/index.php?title=Akinlar_et_al_2013a&amp;diff=209688&amp;oldid=prev</id>
		<title>Scipediacontent: Created page with &quot; == Abstract ==  21st Signal Processing and Communications Applications Conference (SIU) -- APR 24-26, 2013 -- CYPRUS  WOS: 000325005300272  Automatic traffic sign detection a...&quot;</title>
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				<updated>2021-02-08T08:55:33Z</updated>
		
		<summary type="html">&lt;p&gt;Created page with &amp;quot; == Abstract ==  21st Signal Processing and Communications Applications Conference (SIU) -- APR 24-26, 2013 -- CYPRUS  WOS: 000325005300272  Automatic traffic sign detection a...&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;&lt;br /&gt;
== Abstract ==&lt;br /&gt;
&lt;br /&gt;
21st Signal Processing and Communications Applications Conference (SIU) -- APR 24-26, 2013 -- CYPRUS&lt;br /&gt;
&lt;br /&gt;
WOS: 000325005300272&lt;br /&gt;
&lt;br /&gt;
Automatic traffic sign detection and recognition is one of the most important components of advanced driver assistance systems. In this paper, a novel method utilizing histograms of oriented gradients based features together with a recently developed and successful circle detection algorithm is proposed for circular traffic sign recognition. In the proposed method, irrelevant backgrounds of traffic signs, whose locations on images are identified within rectangular boundaries, are filtered by detecting their actual circular boundaries. In this way, features representing the traffic signs better can be extracted. The results of the experimental study conducted on a considerably large database demonstrate that the proposed method offers a higher classification performance than the case in which the circle detection is not applied.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Original document ==&lt;br /&gt;
&lt;br /&gt;
The different versions of the original document can be found in:&lt;br /&gt;
&lt;br /&gt;
* [https://hdl.handle.net/11421/19871 https://hdl.handle.net/11421/19871]&lt;br /&gt;
&lt;br /&gt;
* [http://xplorestaging.ieee.org/ielx7/6521474/6531159/06531432.pdf?arnumber=6531432 http://xplorestaging.ieee.org/ielx7/6521474/6531159/06531432.pdf?arnumber=6531432],&lt;br /&gt;
: [http://dx.doi.org/10.1109/siu.2013.6531432 http://dx.doi.org/10.1109/siu.2013.6531432]&lt;br /&gt;
&lt;br /&gt;
* [https://dblp.uni-trier.de/db/conf/siu/siu2013.html#GunduzKGA13 https://dblp.uni-trier.de/db/conf/siu/siu2013.html#GunduzKGA13],&lt;br /&gt;
: [https://ieeexplore.ieee.org/document/6531432 https://ieeexplore.ieee.org/document/6531432],&lt;br /&gt;
: [https://doi.org/10.1109/SIU.2013.6531432 https://doi.org/10.1109/SIU.2013.6531432],&lt;br /&gt;
: [http://ieeexplore.ieee.org/document/6531432 http://ieeexplore.ieee.org/document/6531432],&lt;br /&gt;
: [https://academic.microsoft.com/#/detail/2069754983 https://academic.microsoft.com/#/detail/2069754983]&lt;/div&gt;</summary>
		<author><name>Scipediacontent</name></author>	</entry>

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