کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
725664 892547 2014 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Fingerprint Recognition by Multi-objective Optimization PSO Hybrid with SVM
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی کنترل و سیستم های مهندسی
پیش نمایش صفحه اول مقاله
Fingerprint Recognition by Multi-objective Optimization PSO Hybrid with SVM
چکیده انگلیسی

Researchers put efforts to discover more efficient ways to classification problems for a period of time. Recent years, the support vector machine (SVM) becomes a well-popular intelligence algorithm developed for dealing this kind of problem. In this paper, we used the core idea of multi-objective optimization to transform SVM into a new form. This form of SVM could help to solve the situation: in tradition, SVM is usually a single optimization equation, and parameters for this algorithm can only be determined by user’s experience, such as penalty parameter. Therefore, our algorithm is developed to help user prevent from suffering to use this algorithm in the above condition. We use multi-objective Particle Swarm Optimization algorithm in our research and successfully proved that user do not need to use trial – and – error method to determine penalty parameter C. Finally, we apply it to NIST-4 database to assess our proposed algorithm feasibility, and the experiment results shows our method can have great results as we expect.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Applied Research and Technology - Volume 12, Issue 6, December 2014, Pages 1014–1024
نویسندگان
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