کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
496755 862869 2011 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Signature authentication based on subpattern analysis
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
Signature authentication based on subpattern analysis
چکیده انگلیسی

Current network based authentication applications require simple robust methods which are faster and does not choke the bandwidth. Minimal features are considered using subpattern analysis which leads to less response time in a real time scenario. Certain subsections of signature vary in a genuine case subdivision process. With a high degree of certainty the minimum variance quadtree components [MVQCs] of a signature for a person are listed to apply on testing sample. Hu moments are applied on the selected subsections. The summation values of the subsections are provided as feature to radial basis function [RBF] and feed forward neural network classifiers. Results indicate that the Radial Basis Function classifier yielded 7% false rejection rate and feed forward neural network classification technique produced 9% false rejection rate. The major advantage of proposed system is, storage of person dependent template details are drastically reduced. Only the MVQC list of a person is to be cataloged.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Soft Computing - Volume 11, Issue 3, April 2011, Pages 3218–3228
نویسندگان
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