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	<title>Overheard in the tech blogosphere &#187; biometrics</title>
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	<description>A Whatis.com blog</description>
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		<title>Overheard talking about iris recognition</title>
		<link>http://itknowledgeexchange.techtarget.com/overheard/overheard-talking-about-iris-recognition/</link>
		<comments>http://itknowledgeexchange.techtarget.com/overheard/overheard-talking-about-iris-recognition/#comments</comments>
		<pubDate>Mon, 05 Mar 2012 20:16:42 +0000</pubDate>
		<dc:creator>Margaret Rouse</dc:creator>
				<category><![CDATA[biometrics]]></category>

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		<description><![CDATA[&#8220;Iris recognition was found to have an error rate of 1 in a million, according to a January study by the National Institute of Standards and Technology.&#8221; &#8211; Julia Angwin Today&#8217;s WhatIs.com Word of the Day is iris recognition, the identification of an individual based on the unique patterns within the ring-shaped region surrounding the pupil [...]]]></description>
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<td><em><span>&#8220;Iris recognition was found to have an error rate of 1 in a million, according to a January study by the National Institute of Standards and Technology.&#8221; &#8211;</span></em> <span><a href="http://blogs.wsj.com/digits/2011/07/13/iris-recognition-the-new-fingerprinting/">Julia Angwin</a></span></td>
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<p>Today&#8217;s WhatIs.com Word of the Day is <a href="http://whatis.techtarget.com/definition/iris-recognition.html">iris recognition</a>, the identification of an individual based on the unique patterns within the ring-shaped region surrounding the pupil of the eye.</p>
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		<title>Video: Robot demonstrates face recognition</title>
		<link>http://itknowledgeexchange.techtarget.com/overheard/video-robot-demonstrates-face-recognition/</link>
		<comments>http://itknowledgeexchange.techtarget.com/overheard/video-robot-demonstrates-face-recognition/#comments</comments>
		<pubDate>Fri, 25 Apr 2008 12:52:12 +0000</pubDate>
		<dc:creator>Margaret Rouse</dc:creator>
				<category><![CDATA[biometrics]]></category>
		<category><![CDATA[face recognition]]></category>
		<category><![CDATA[Robotics]]></category>
		<category><![CDATA[Security]]></category>

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		<description><![CDATA[[kml_flashembed movie="http://www.youtube.com/v/B_jllEvrOZQ" width="425" height="350" wmode="transparent" /] Kind of cool!]]></description>
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<p><code>Kind of cool!</code></p>
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		<title>Overheard: Finger vein ID</title>
		<link>http://itknowledgeexchange.techtarget.com/overheard/overheard-finger-vein-id/</link>
		<comments>http://itknowledgeexchange.techtarget.com/overheard/overheard-finger-vein-id/#comments</comments>
		<pubDate>Fri, 04 Apr 2008 13:51:15 +0000</pubDate>
		<dc:creator>Margaret Rouse</dc:creator>
				<category><![CDATA[biometric verification]]></category>
		<category><![CDATA[biometrics]]></category>
		<category><![CDATA[Finger scans]]></category>

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		<description><![CDATA[Both finger prints and iris patterns can be more prone to copying by a third person. But finger veins are not directly visible to a third person, which makes them more suitable for security use. Hitachi spokesman Atsushi Konno, as quoted in Vein recognition touted for ID systems I wonder if the finger has to [...]]]></description>
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<td>Both finger prints and iris patterns can be more prone to copying by a third  person. But finger veins are not directly visible to a third person, which makes them more suitable for security use.</p>
<p>Hitachi spokesman Atsushi Konno, as quoted in <a href="http://www.smh.com.au/news/breaking/vein-recognition-touted-for-id-systems/2005/10/12/1128796556128.html">Vein recognition touted for ID systems</a></td>
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<p>I wonder if the finger has to be attached to a live person for this technology to work? That makes it even MORE suitable. </p>
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