کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
536948 870648 2005 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Off-line Chinese signature verification based on support vector machines
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
Off-line Chinese signature verification based on support vector machines
چکیده انگلیسی

This paper proposes a novel off-line Chinese signature verification method based on support vector machines. The method uses both static features and dynamic features. The static features include moment features and 16-direction distribution (an improvement on 4-direction distribution). The dynamic features include gray distribution and stroke width distribution. At last, support vector machine is used to classify the signatures. The main steps of constructing a signature verification system are discussed and experiments on real data sets show that the average error rate can reach 5%, which is obviously satisfactory.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition Letters - Volume 26, Issue 15, November 2005, Pages 2390–2399
نویسندگان
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