کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
385696 660869 2011 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Down syndrome recognition using local binary patterns and statistical evaluation of the system
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Down syndrome recognition using local binary patterns and statistical evaluation of the system
چکیده انگلیسی

Down syndrome has a private facial view, thus it can be recognized by using facial features. But this is a very challenging problem when the similarity between the faces of people with Down syndrome and not Down syndrome people are considered. Therefore, we used the local binary pattern (LBP) approach for feature extraction which is a very effective feature descriptor. For classification Euclidean distance and Changed Manhattan distance methods are used. In this way, we improved an efficient system to recognize Down syndrome.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 38, Issue 7, July 2011, Pages 8690–8695
نویسندگان
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