2011年
An application for singular point location in fingerprint classification
Communications in Computer and Information Science
- ,
- 巻
- 188 CCIS
- 号
- PART 1
- 開始ページ
- 262
- 終了ページ
- 276
- 記述言語
- 英語
- 掲載種別
- 研究論文(国際会議プロシーディングス)
- DOI
- 10.1007/978-3-642-22389-1_24
- 出版者・発行元
- SPRINGER-VERLAG BERLIN
Singular Point (SP) is one of the local fingerprint features, and it is used as a landmark due its scale and rotation immutability. SP characteristics have been widely used as a feature vector for many fingerprint classification approaches. This paper introduces a new application of singular point location in fingerprint classification by considering it as a reference point to the partitioning process in the proposed pattern-based classification algorithm. The key idea of the proposed classification method is dividing fingerprint into small sub images using SP location, and then, creating distinguished patterns for each class using frequency domain representation for each sub-image. The performance evaluation of the SP detection and the proposed algorithm with different database sub-sets focused on both the processing time and the classification accuracy as key issues of any classification approach. The experimental work shows the superiority of using singular point location with the proposed classification algorithm. The achieved classification accuracy over FVC2002 database subsets is up to 91.4% with considerable processing time and robustness to scale, shift, and rotation conditions. © 2011 Springer-Verlag.
- リンク情報
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- DOI
- https://doi.org/10.1007/978-3-642-22389-1_24
- Web of Science
- https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000302374500024&DestApp=WOS_CPL
- Scopus
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79960319784&origin=inward
- Scopus Citedby
- https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=79960319784&origin=inward
- ID情報
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- DOI : 10.1007/978-3-642-22389-1_24
- ISSN : 1865-0929
- eISSN : 1865-0937
- ORCIDのPut Code : 5309778
- SCOPUS ID : 79960319784
- Web of Science ID : WOS:000302374500024