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	A comparative study of combining multiple enrolled samples for fingerprint verification
	Yang, Chunyu ; Zhou, Jie
	2010-05-06 ; 2010-05-06
关键词	fingerprint verification decision fusion feature fusion multiple enrolled impressions RECOGNITION SYSTEMS Computer Science, Artificial Intelligence Engineering, Electrical & Electronic
中文摘要	In fingerprint verification systems, there are usually multiple (from two to four) enrolled impressions for a same finger. The performance of the systems can be improved by combining these impressions through feature fusion or decision fusion strategy. In this paper, different schemes to combine multiple enrolled impressions are comparatively studied. Experimental results show that a larger improvement can be obtained by using decision fusion scheme than feature fusion. In all decision fusion rules, sum rule outperforms voting rule a little whether using similarity or Neyman-Pearson rule. Based on the observation that the performance of these two strategies can complement each other, we also propose a novel fusion scheme to further combine feature fusion and decision fusion, which can produce an even better result. (c) 2006 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.
语种	英语 ; 英语
出版者	PERGAMON-ELSEVIER SCIENCE LTD ; OXFORD ; THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/9422]
专题	清华大学
推荐引用方式 GB/T 7714	Yang, Chunyu,Zhou, Jie. A comparative study of combining multiple enrolled samples for fingerprint verification[J],2010, 2010.
APA	Yang, Chunyu,&Zhou, Jie.(2010).A comparative study of combining multiple enrolled samples for fingerprint verification..
MLA	Yang, Chunyu,et al."A comparative study of combining multiple enrolled samples for fingerprint verification".(2010).

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