教師資料查詢 | 類別: 期刊論文 | 教師: 謝景棠 Hsieh Ching-tang (瀏覽個人網頁)

標題:Fingerprint recognition by multi-objective optimization PSO hybrid with SVM
學年103
學期1
出版(發表)日期2014/12/01
作品名稱Fingerprint recognition by multi-objective optimization PSO hybrid with SVM
作品名稱(其他語言)
著者Hsieh, Ching-Tang; Hu, Chia-Shing
單位淡江大學電機工程學系
出版者Mexico: Universidad Nacional Autonoma de Mexico * Centro de Ciencias Aplicadas y Desarrollo Tecnologico
著錄名稱、卷期、頁數Journal of Applied Research and Technology 12(6), pp.1014-1024
摘要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 multiobjective 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.
關鍵字MOPSO-CD;SVM;fingerprint recognition
語言英文
ISSN1665-6423
期刊性質國外
收錄於SCI;
產學合作
通訊作者Hu, Chia-Shing
審稿制度
國別墨西哥
公開徵稿
出版型式,電子版,紙本
相關連結
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