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学术前沿讲座--Bovine Iris Recognition with Local Feature

发布时间:2013-05-27访问量:379

 

报告题目
Bovine Iris Recognition with Local Feature
报告人(单位)
孙胜楠
(东南大学系统工程研究所)
点评人(单位)
王海燕(系统工程研究所)
点评人(单位)
何勇(系统工程研究所)
时间地点
时间:2013年5月29日(周三)下午2点
地点:九龙湖经管楼B-201
报告内容摘要
 
报告内容:
With the rapid development of economics and improvement of living standards, consumers pay more attention to the quality of life. Recently, biometrics identification has drawn wide concern with its high accuracy, security and reliability. In this talk, we provide bovine iris recognition algorithms based on local feature. Firstly, a region-based active contour model is suggested to detect the inner and outer boundaries of the bovine iris. Secondly, two different improved Weber local descriptors are proposed to describe the iris texture. Finally, considering inactively participant, a new bovine iris recognition scheme based on bag of features is suggested. The experimental results on the bovine iris database verify the effectiveness of our proposed methods.
报告人简介:
孙胜楠,2005年和2008年分别在重庆大学南京大学获学士和硕士学位,并于2013年在东南大学系统工程研究所获博士学位。攻博期间,受国家留学基金委资助在德国亚琛工业大学联合培养一年。目前,孙胜楠博士已在国际期刊如Neurocomputing等发表多篇论文,并担任Omega, International Journal of Biometric等国际期刊审稿人。他的研究兴趣主要包括生物识别技术、食品安全和供应链管理等。
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